Triple

T16407785
Position Surface form Disambiguated ID Type / Status
Subject Drew Thayer E398479 entity
Predicate hasFullName P16 FINISHED
Object Drew Thayer
Drew Thayer is an individual whose full legal name is also commonly used as their primary identifying name.
 E398479 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: Drew Thayer | Statement: [Drew Thayer, hasFullName, Drew Thayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Drew Thayer
Context triple: [Drew Thayer, hasFullName, Drew Thayer]
  • A. Drew Thayer
    Drew Thayer is a CIA agent and the ex-boyfriend of the protagonist in the action-comedy film "The Spy Who Dumped Me."
  • B. Drew Sheehan
    Drew Sheehan is a character in the television series "Mare of Easttown," known as the young grandson of the main character, Mare Sheehan.
  • C. Drew Bagnell
    Drew Bagnell is a roboticist and machine learning researcher known for his work in autonomous systems and his role as a co-founder and chief scientist at Aurora Innovation.
  • D. Drew Rothman
    Drew Rothman is a voice actor known for providing character voices in audio productions.
  • E. Cameron Thayer
    Cameron Thayer is a fictional character from the 2004 film "Crash," portrayed as a successful Black television director navigating racial tensions and discrimination in Los Angeles.
  • 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: Drew Thayer
Triple: [Drew Thayer, hasFullName, Drew Thayer]
Generated description
Drew Thayer is an individual whose full legal name is also commonly used as their primary identifying name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Drew Thayer
Target entity description: Drew Thayer is an individual whose full legal name is also commonly used as their primary identifying name.
  • A. Drew Thayer chosen
    Drew Thayer is a CIA agent and the ex-boyfriend of the protagonist in the action-comedy film "The Spy Who Dumped Me."
  • B. Drew Sheehan
    Drew Sheehan is a character in the television series "Mare of Easttown," known as the young grandson of the main character, Mare Sheehan.
  • C. Drew Bagnell
    Drew Bagnell is a roboticist and machine learning researcher known for his work in autonomous systems and his role as a co-founder and chief scientist at Aurora Innovation.
  • D. Drew Rothman
    Drew Rothman is a voice actor known for providing character voices in audio productions.
  • E. Cameron Thayer
    Cameron Thayer is a fictional character from the 2004 film "Crash," portrayed as a successful Black television director navigating racial tensions and discrimination in Los Angeles.
  • F. None of above.

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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457d9f4081908a5f28eeafc44695 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00469f5d8081908c21fc30dcb5d5b8 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0047322384819082a95f9a6f5a53fc completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 5:09 a.m.