Triple

T2198702
Position Surface form Disambiguated ID Type / Status
Subject Her E50437 entity
Predicate aiCharacter P36900 FINISHED
Object Samantha
Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
E248774 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Samantha | Statement: [Her, aiCharacter, Samantha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samantha
Context triple: [Her, aiCharacter, Samantha]
  • A. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • B. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • C. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • D. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • E. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Samantha
Triple: [Her, aiCharacter, Samantha]
Generated description
Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samantha
Target entity description: Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
  • A. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • B. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • C. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • D. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • E. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aiCharacter
Context triple: [Her, aiCharacter, Samantha]
  • A. character1
    Indicates that the subject is identified as the first or primary character in a narrative or context.
  • B. characterRoleSwap
    Indicates a relationship where two characters exchange or assume each other’s narrative roles or functions within a story or scenario.
  • C. character2
    Indicates that a second character entity is involved in the relationship or context defined by the predicate.
  • D. dialogueWith
    Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
  • E. assistant
    Indicates that one entity provides help, support, or services to another entity.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf7b65cc8190bcc5a5c52b90f33b completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af5dc2081909d69641ca3bc65ea completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b9da51c819085beb79a14f5d8b5 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2a465c8190a9fe2a465e9ac3f0 completed March 9, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69abbda706f4819094de73e1d1d1f539 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbf35c994819088a093c412931de4 completed March 7, 2026, 6:01 a.m.
Created at: March 4, 2026, 7:46 p.m.