Triple

T12870191
Position Surface form Disambiguated ID Type / Status
Subject High Seas E307826 entity
Predicate hasMainCharacter P1183 FINISHED
Object Victor
Victor is a central protagonist in the adventure story "High Seas," around whom much of the plot’s maritime drama and exploration revolves.
 E1007507 NE FINISHED

How this triple was built (4 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: Victor | Statement: [High Seas, hasMainCharacter, Victor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victor
Context triple: [High Seas, hasMainCharacter, Victor]
  • A. Victor
    Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
  • B. Victor
    Victor is a central character in the TV series "Dollhouse," known as one of the programmable "Actives" whose identity and memories are repeatedly altered for various missions.
  • C. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • D. Victor
    Victor is a trusted henchman and enforcer for drug kingpin Gustavo Fring in the television series Breaking Bad.
  • E. Victor
    Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
  • 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: Victor
Triple: [High Seas, hasMainCharacter, Victor]
Generated description
Victor is a central protagonist in the adventure story "High Seas," around whom much of the plot’s maritime drama and exploration revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victor
Target entity description: Victor is a central protagonist in the adventure story "High Seas," around whom much of the plot’s maritime drama and exploration revolves.
  • A. Victor
    Victor is a character in the play "One for the Road," serving as one of the figures through whom the story’s themes of power and oppression are explored.
  • B. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • C. Victor
    Victor is a supporting character in the romantic film "Letters to Juliet," known as Sophie’s work-obsessed fiancé whose priorities contrast with her search for true love.
  • D. Victor
    Victor is a central character in the TV series "Dollhouse," known as one of the programmable "Actives" whose identity and memories are repeatedly altered for various missions.
  • E. Victor
    Victor is a trusted henchman and enforcer for drug kingpin Gustavo Fring in the television series Breaking Bad.
  • F. None of above. chosen

Provenance (5 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba79918819093e047ce22191923 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69c8469548190b05d8fa010e0ca13 completed May 3, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69f69d4ef7988190890f8a62280aa673 completed May 3, 2026, 12:56 a.m.
Created at: April 9, 2026, 5:38 p.m.