Triple

T11992644
Position Surface form Disambiguated ID Type / Status
Subject Sara Crewe E285445 entity
Predicate hasFriend P8712 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: [Sara Crewe, hasFriend, Becky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becky
Context triple: [Sara Crewe, hasFriend, Becky]
  • A. Becky chosen
    Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
  • B. Becky
    Becky is a character from Thomas More’s seminal political-philosophical work "Utopia," representing one of the figures through which the text explores idealized social and political structures.
  • C. Becky
    Becky is a free-spirited young woman in the film "What's Eating Gilbert Grape" who becomes Gilbert Grape's romantic interest and helps him envision a life beyond his small-town burdens.
  • D. Becky
    Becky is a character connected to Endora, likely appearing in the same fictional universe or storyline as her.
  • E. Becca
    Becca is a central character in the 2015 horror film "The Visit," a teenage girl who documents her and her brother’s unsettling stay with their estranged grandparents.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4726696dc8190bf2a7aa43cb08b19 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.