Triple

T1565515
Position Surface form Disambiguated ID Type / Status
Subject The Pragmatic Programmer E33423 entity
Predicate notableWorkOf P4 FINISHED
Object David Thomas E180264 NE FINISHED

How this triple was built (2 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: David Thomas | Statement: [The Pragmatic Programmer, notableWorkOf, David Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Thomas
Context triple: [The Pragmatic Programmer, notableWorkOf, David Thomas]
  • A. David Thomas chosen
    David Thomas is a software developer and author best known for co-writing the influential programming book "The Pragmatic Programmer."
  • B. Benjamin Dreyfuss
    Benjamin Dreyfuss is an American journalist and actor, known both for his work in media and as the son of Academy Award–winning actor Richard Dreyfuss.
  • C. David Hennings
    David Hennings is a film cinematographer known for his work on major studio comedies and other feature films, including "Horrible Bosses."
  • D. Fred Ward
    Fred Ward was an American character actor known for his rugged, everyman roles in films such as "Tremors," "The Right Stuff," and "Short Cuts."
  • E. Murray Hamilton
    Murray Hamilton was an American character actor best known for playing the stubborn Mayor Larry Vaughn in the classic thriller film "Jaws."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621242188190a7e1deeada7688d8 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51af2de8819087d287d65aabbf1a completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.