Triple

T9677418
Position Surface form Disambiguated ID Type / Status
Subject Jack N. Green E234194 entity
Predicate name P16 FINISHED
Object Jack N. Green E234194 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 N. Green | Statement: [Jack N. Green, name, Jack N. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack N. Green
Context triple: [Jack N. Green, name, Jack N. Green]
  • A. Jack N. Green chosen
    Jack N. Green is an American cinematographer best known for his longtime collaboration with Clint Eastwood on films such as "Unforgiven" and "The Bridges of Madison County."
  • B. Jack Green
    Jack Green is an entrepreneur best known as a founder of the major American insurance company Progressive Corporation.
  • C. Chuck Green
    Chuck Green was an influential American tap dancer and innovator whose rhythmic style and artistry helped shape modern tap and inspired later stars like Savion Glover.
  • D. Angus T. Jones
    Angus T. Jones is an American actor best known for his role as Jake Harper on the television sitcom "Two and a Half Men."
  • E. Benjamin Green
    Benjamin Green was a 19th-century British architect best known for designing prominent public monuments and buildings in northern England.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c99ee0481908ead5f7112117c90 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a34adec8190a4a260d029e408aa completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:16 p.m.