Triple

T12996883
Position Surface form Disambiguated ID Type / Status
Subject Gabriela Cowperthwaite E322059 entity
Predicate notableWork P4 FINISHED
Object The Grab E1016375 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: The Grab | Statement: [Gabriela Cowperthwaite, notableWork, The Grab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Grab
Context triple: [Gabriela Cowperthwaite, notableWork, The Grab]
  • A. The Grab chosen
    The Grab is a documentary film that investigates the global race for control over food and water resources and its far-reaching political and human consequences.
  • B. Grabler
    Grabler is a surname of likely Germanic origin associated with individuals such as Maria Magdalena Grabler.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Kabu Kabu
    Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
  • E. Hustle Gang
    Hustle Gang is an American hip hop collective and brand founded by rapper T.I., associated with the Atlanta-based label Grand Hustle Records.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc4111c8190ace7bf505cd652ee completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:45 p.m.