Triple

T22425597
Position Surface form Disambiguated ID Type / Status
Subject Just Cause E554359 entity
Predicate screenwriter P2831 FINISHED
Object Peter Stone NE NERFINISHED

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: Peter Stone | Statement: [Just Cause, screenwriter, Peter Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Stone
Context triple: [Just Cause, screenwriter, Peter Stone]
  • A. Peter Stone
    Peter Stone is an American computer scientist known for his influential work in artificial intelligence and robotics, particularly in multiagent systems and robot soccer.
  • B. Peter Stone chosen
    Peter Stone was an American screenwriter and playwright best known for crafting witty, sophisticated scripts for films such as "Charade" and the musical "1776."
  • C. Peter Stone
    Peter Stone is a comic book creator and entrepreneur best known as a co-founder of the independent publisher Continuity Comics.
  • D. Steven Stone
    Steven Stone is a powerful Steel-type specialist and the former Pokémon League Champion of the Hoenn region, known for his calm demeanor and passion for rare stones.
  • E. Wilson Stone
    Wilson Stone was an American geneticist and zoologist known for his influential research in radiation genetics and his leadership in the development of genetics as a discipline at the University of Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2d4dd88190a156c24b02b1591b completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.