Triple

T1208797
Position Surface form Disambiguated ID Type / Status
Subject After the Fall E25950 entity
Predicate hasCharacter P2308 FINISHED
Object Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
 E141960 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: Elsie | Statement: [After the Fall, hasCharacter, Elsie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elsie
Context triple: [After the Fall, hasCharacter, Elsie]
  • A. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • B. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • C. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • D. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • E. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • 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: Elsie
Triple: [After the Fall, hasCharacter, Elsie]
Generated description
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elsie
Target entity description: Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
  • A. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • B. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • C. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • D. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • E. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde30ce08190ab60a181ad2d321d completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f6ff3048190a420ee6c92fc9c71 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac901d3100819084224337a9cb0cbb completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac907083c08190aa2a72d77eaafc85 completed March 7, 2026, 8:54 p.m.
Created at: March 1, 2026, 7:46 p.m.