Triple

T9789403
Position Surface form Disambiguated ID Type / Status
Subject The Family Stone E237568 entity
Predicate character P662 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: [The Family Stone, character, Ben Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Stone
Context triple: [The Family Stone, character, 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. Tom Stone
    Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
  • E. John Stonehouse
    John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.