Triple

T16673666
Position Surface form Disambiguated ID Type / Status
Subject Gypsys, Tramps & Thieves E405164 entity
Predicate lyricist P1360 FINISHED
Object Bob Stone E1227017 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: Bob Stone | Statement: [Gypsys, Tramps & Thieves, lyricist, Bob Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Stone
Context triple: [Gypsys, Tramps & Thieves, lyricist, Bob Stone]
  • A. Bob Stone
    Bob Stone is a fictional character from the action-comedy film "Central Intelligence," portrayed as a formerly bullied outsider who becomes a highly skilled and muscular CIA agent.
  • B. 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."
  • C. Bob Stone chosen
    Bob Stone is an American songwriter best known for writing Cher’s 1971 hit single “Gypsys, Tramps & Thieves.”
  • D. 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.
  • E. 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."
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6904008190a79ab30b6d9ccae9 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091927a408190a612a9ae2fd30d0a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.