Triple

T11667242
Position Surface form Disambiguated ID Type / Status
Subject Jack A. Marta E277280 entity
Predicate name P16 FINISHED
Object Jack A. Marta E277280 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: Jack A. Marta | Statement: [Jack A. Marta, name, Jack A. Marta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack A. Marta
Context triple: [Jack A. Marta, name, Jack A. Marta]
  • A. Jack A. Marta chosen
    Jack A. Marta was an American cinematographer known for his extensive work on Westerns and numerous films and television productions throughout the mid-20th century.
  • B. Tom Jeter
    Tom Jeter is a fictional sketch-comedy performer and writer from the television series "Studio 60 on the Sunset Strip."
  • C. Thomas Oaster
    Thomas Oaster is an American men's rights advocate best known for initiating and promoting the observance that became International Men's Day.
  • D. Ed Kranepool
    Ed Kranepool is a former Major League Baseball first baseman and outfielder best known for his long tenure with the New York Mets, including his role on their 1969 World Series championship team.
  • E. George DiCenzo
    George DiCenzo was an American character actor known for his work in film, television, and voice acting, including roles in projects like "Back to the Future" and numerous animated series.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13b36ae4819096e6dfca23a69250 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.