Triple

T9937037
Position Surface form Disambiguated ID Type / Status
Subject Lara Croft: Tomb Raider E193984 entity
Predicate storyBy P1955 FINISHED
Object Sara B. Cooper
Sara B. Cooper is a screenwriter best known for her work on the film "Lara Croft: Tomb Raider."
 E885341 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: Sara B. Cooper | Statement: [Lara Croft: Tomb Raider, storyBy, Sara B. Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara B. Cooper
Context triple: [Lara Croft: Tomb Raider, storyBy, Sara B. Cooper]
  • A. Anne V. Coates
    Anne V. Coates was an acclaimed British film editor best known for her Oscar-winning work on the epic film "Lawrence of Arabia" and her influential decades-long career in cinema.
  • B. Sara V. Finney
    Sara V. Finney is an American television writer and producer best known as a co-creator of the sitcom "Moesha" and a pioneering Black woman in network TV comedy.
  • C. Grace Cooley
    Grace Cooley is the compassionate and overworked assistant to Bill Murray’s character in the 1988 Christmas comedy film "Scrooged."
  • D. Mary M. Schroeder
    Mary M. Schroeder is an American jurist who served as a judge, and later chief judge, on the U.S. Court of Appeals for the Ninth Circuit.
  • E. Isabel J. Cox
    Isabel J. Cox was the wife of Canadian Prime Minister Arthur Meighen and the mother of their three children.
  • 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: Sara B. Cooper
Triple: [Lara Croft: Tomb Raider, storyBy, Sara B. Cooper]
Generated description
Sara B. Cooper is a screenwriter best known for her work on the film "Lara Croft: Tomb Raider."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara B. Cooper
Target entity description: Sara B. Cooper is a screenwriter best known for her work on the film "Lara Croft: Tomb Raider."
  • A. Anne V. Coates
    Anne V. Coates was an acclaimed British film editor best known for her Oscar-winning work on the epic film "Lawrence of Arabia" and her influential decades-long career in cinema.
  • B. Sara V. Finney
    Sara V. Finney is an American television writer and producer best known as a co-creator of the sitcom "Moesha" and a pioneering Black woman in network TV comedy.
  • C. Grace Cooley
    Grace Cooley is the compassionate and overworked assistant to Bill Murray’s character in the 1988 Christmas comedy film "Scrooged."
  • D. Mary M. Schroeder
    Mary M. Schroeder is an American jurist who served as a judge, and later chief judge, on the U.S. Court of Appeals for the Ninth Circuit.
  • E. Isabel J. Cox
    Isabel J. Cox was the wife of Canadian Prime Minister Arthur Meighen and the mother of their three children.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: March 30, 2026, 8:44 p.m.