Triple

T814774
Position Surface form Disambiguated ID Type / Status
Subject Coward of the County E17627 entity
Predicate mainCharacter P1183 FINISHED
Object Becky E38129 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: Becky | Statement: [Coward of the County, mainCharacter, Becky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becky
Context triple: [Coward of the County, mainCharacter, Becky]
  • A. Becky chosen
    Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
  • B. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • C. Lauren
    Lauren is a central female protagonist in the romantic comedy film "Think Like a Man," portrayed as a successful, relationship-seeking woman whose love life is influenced by Steve Harvey’s dating advice.
  • D. Phoebe
    Phoebe is an irregular, retrograde moon of Saturn believed to be a captured object from the outer Solar System.
  • E. Sarah Cloyce
    Sarah Cloyce was a woman accused during the Salem witch trials, known for being the sister of fellow accused Rebecca Nurse and for later helping to challenge the legitimacy of the proceedings.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5035608190bff5f3843b75e662 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c00e3fb48190a242264358413b05 completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:38 p.m.