Triple

T17305961
Position Surface form Disambiguated ID Type / Status
Subject Kate del Castillo E420164 entity
Predicate notableWork P4 FINISHED
Object The 33 E502217 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 33 | Statement: [Kate del Castillo, notableWork, The 33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The 33
Context triple: [Kate del Castillo, notableWork, The 33]
  • A. The 33 chosen
    The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
  • B. The 305
    The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
  • C. The 355
    The 355 is a 2022 female-led espionage action thriller film about an international team of spies who unite to stop a global threat.
  • D. Take Thirty
    Take Thirty was a long-running Canadian television current affairs and talk show that aired on CBC, known for its magazine-style coverage of social issues and culture.
  • E. These Three
    These Three is a 1936 American drama film directed by William Wyler, adapted from Lillian Hellman’s play and centered on the devastating impact of a malicious lie on two women’s lives.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e0c1b881908aa2b6b4d8ac04b6 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.