Triple

T12698938
Position Surface form Disambiguated ID Type / Status
Subject Life as a House E303405 entity
Predicate editedBy P1954 FINISHED
Object Michael Hill
Michael Hill is a film editor known for his work on the drama film "Life as a House."
E997616 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: Michael Hill | Statement: [Life as a House, editedBy, Michael Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hill
Context triple: [Life as a House, editedBy, Michael Hill]
  • A. Arthur de Richemont
    Arthur de Richemont was a 15th-century French nobleman and military leader who served as Constable of France and played a key role in the later stages of the Hundred Years' War.
  • B. John Merchant
    John Merchant is a music producer known for his work on the project "In the Now."
  • C. Hamilton Morris
    Hamilton Morris is an American journalist, documentarian, and chemist best known for his work exploring psychoactive substances in the series "Hamilton's Pharmacopeia."
  • D. William Goldsmith
    William Goldsmith is an American rock drummer best known for his work with the bands Sunny Day Real Estate and as an early member of Foo Fighters.
  • E. Gerald Ratner
    Gerald Ratner was a prominent American businessman and University of Chicago alumnus and benefactor, best known for his substantial philanthropic support to the university.
  • 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: Michael Hill
Triple: [Life as a House, editedBy, Michael Hill]
Generated description
Michael Hill is a film editor known for his work on the drama film "Life as a House."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Hill
Target entity description: Michael Hill is a film editor known for his work on the drama film "Life as a House."
  • A. Arthur de Richemont
    Arthur de Richemont was a 15th-century French nobleman and military leader who served as Constable of France and played a key role in the later stages of the Hundred Years' War.
  • B. John Merchant
    John Merchant is a music producer known for his work on the project "In the Now."
  • C. Hamilton Morris
    Hamilton Morris is an American journalist, documentarian, and chemist best known for his work exploring psychoactive substances in the series "Hamilton's Pharmacopeia."
  • D. William Goldsmith
    William Goldsmith is an American rock drummer best known for his work with the bands Sunny Day Real Estate and as an early member of Foo Fighters.
  • E. Gerald Ratner
    Gerald Ratner was a prominent American businessman and University of Chicago alumnus and benefactor, best known for his substantial philanthropic support to the university.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b066348190aedfe186fc4724f9 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672d16f8881908c6d5cfed0b3ec3a completed May 2, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69f67396fdac8190970068b2c39ad2f7 completed May 2, 2026, 9:58 p.m.
Created at: April 9, 2026, 5:22 p.m.