Triple

T5303359
Position Surface form Disambiguated ID Type / Status
Subject The Goodbye Girl E120036 entity
Predicate cinematographyBy P1953 FINISHED
Object David M. Walsh E308850 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 M. Walsh | Statement: [The Goodbye Girl, cinematographyBy, David M. Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David M. Walsh
Context triple: [The Goodbye Girl, cinematographyBy, David M. Walsh]
  • A. David M. Walsh chosen
    David M. Walsh is an American cinematographer known for his work on numerous films, particularly comedies, during the 1970s and 1980s.
  • B. David Walsh
    David Walsh is an Australian professional gambler, art collector, and entrepreneur best known as the founder of Hobart’s provocative Museum of Old and New Art (MONA).
  • C. Kevin J. Walsh
    Kevin J. Walsh is a film producer known for his work on major Hollywood productions, including the 2022 adaptation of "Death on the Nile."
  • D. Michael H. Moloney
    Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
  • E. Timothy J. Sexton
    Timothy J. Sexton is an American screenwriter best known for co-writing the critically acclaimed dystopian film "Children of Men."
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851b685c8190b7ed8c762a807395 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b22be08190ad5d3d6b12b80bcb completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:53 p.m.