Triple

T12533636
Position Surface form Disambiguated ID Type / Status
Subject Greer E299630 entity
Predicate hasNotableBearer P458 FINISHED
Object Thomas Greer
Thomas Greer is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Greer.
E1002162 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: Thomas Greer | Statement: [Greer, hasNotableBearer, Thomas Greer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Greer
Context triple: [Greer, hasNotableBearer, Thomas Greer]
  • A. Paul Greer
    Paul Greer is a person notable enough to be specifically distinguished among individuals sharing the surname Greer.
  • B. Ian J. Turpin
    Ian J. Turpin is a Scottish-born businessman and financial executive best known as the husband of Luci Baines Johnson, daughter of former U.S. President Lyndon B. Johnson.
  • C. John Requa
    John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
  • D. James Greer
    James Greer is an American novelist, screenwriter, and former Spin magazine editor known for his work on films such as "The Spy Next Door" and his experimental fiction.
  • E. Michael Alldredge
    Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
  • 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: Thomas Greer
Triple: [Greer, hasNotableBearer, Thomas Greer]
Generated description
Thomas Greer is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Greer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Greer
Target entity description: Thomas Greer is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Greer.
  • A. Paul Greer
    Paul Greer is a person notable enough to be specifically distinguished among individuals sharing the surname Greer.
  • B. Ian J. Turpin
    Ian J. Turpin is a Scottish-born businessman and financial executive best known as the husband of Luci Baines Johnson, daughter of former U.S. President Lyndon B. Johnson.
  • C. John Requa
    John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
  • D. James Greer
    James Greer is an American novelist, screenwriter, and former Spin magazine editor known for his work on films such as "The Spy Next Door" and his experimental fiction.
  • E. Michael Alldredge
    Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d672808190b72a923e285a91bb completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f68687e15481908d1ddd017747695f completed May 2, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69f686ec54288190bd1adcbd9c900c90 completed May 2, 2026, 11:21 p.m.
Created at: April 8, 2026, 9:57 p.m.