Triple

T13099988
Position Surface form Disambiguated ID Type / Status
Subject Josh Dallas E310692 entity
Predicate characterRole P268 FINISHED
Object Ben Stone E653944 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: Ben Stone | Statement: [Josh Dallas, characterRole, Ben Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Stone
Context triple: [Josh Dallas, characterRole, Ben Stone]
  • A. Ben Stone chosen
    Ben Stone is a principled and hard-driving executive assistant district attorney who serves as one of the original lead prosecutors on the television series "Law & Order."
  • B. Peter Stone
    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 an American computer scientist known for his influential work in artificial intelligence and robotics, particularly in multiagent systems and robot soccer.
  • D. Jon Stone
    Jon Stone was an American television producer, director, and writer best known as a key creative force behind the development and early success of the children's program "Sesame Street."
  • E. Bob Stone
    Bob Stone is a central white plantation heir whose fraught relationship with the Black protagonist drives the racial and emotional conflict in Jean Toomer’s short story "Blood-Burning Moon."
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.