Triple

T16851819
Position Surface form Disambiguated ID Type / Status
Subject GILD E409692 entity
Predicate issuerCEO P44300 FINISHED
Object Daniel O’Day
Daniel O’Day is a biopharmaceutical executive best known as the chief executive officer of Gilead Sciences.
 E1236231 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: Daniel O’Day | Statement: [GILD, issuerCEO, Daniel O’Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel O’Day
Context triple: [GILD, issuerCEO, Daniel O’Day]
  • A. James Doran
    James Doran was a screenwriter best known for adapting Len Deighton’s spy novel "The Ipcress File" for the 1965 film.
  • B. Jon Daly
    Jon Daly is an American comedian and actor known for his work in film and television, including roles in projects like the comedy film "Masterminds."
  • C. Day O’Connor
    Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • D. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • E. Davis McAlary
    Davis McAlary is a fictional New Orleans DJ and musician known for his passionate advocacy of the city’s music and culture in the television series "Treme."
  • 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: Daniel O’Day
Triple: [GILD, issuerCEO, Daniel O’Day]
Generated description
Daniel O’Day is a biopharmaceutical executive best known as the chief executive officer of Gilead Sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel O’Day
Target entity description: Daniel O’Day is a biopharmaceutical executive best known as the chief executive officer of Gilead Sciences.
  • A. James Doran
    James Doran was a screenwriter best known for adapting Len Deighton’s spy novel "The Ipcress File" for the 1965 film.
  • B. Jon Daly
    Jon Daly is an American comedian and actor known for his work in film and television, including roles in projects like the comedy film "Masterminds."
  • C. Day O’Connor
    Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • D. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • E. Davis McAlary
    Davis McAlary is a fictional New Orleans DJ and musician known for his passionate advocacy of the city’s music and culture in the television series "Treme."
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b379b8fc81908d8bc9950c7f8bad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bb9b2b1881908f9f5c3dd1a2d500 completed May 10, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.