Triple

T14655880
Position Surface form Disambiguated ID Type / Status
Subject El espinazo del diablo E344104 entity
Predicate mainCharacter P1183 FINISHED
Object Jacinto E68983 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: Jacinto | Statement: [El espinazo del diablo, mainCharacter, Jacinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacinto
Context triple: [El espinazo del diablo, mainCharacter, Jacinto]
  • A. Jacinto chosen
    Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
  • B. Jacinto
    Jacinto is a masculine given name of Spanish and Portuguese origin, derived from the Greek name Hyacinthos.
  • C. Flor silvestre
    Flor silvestre is a classic Mexican film best known for featuring iconic actress Dolores del Río in a leading role.
  • D. Reseda
    Reseda is a residential neighborhood in the central San Fernando Valley region of Los Angeles, known for its suburban character and diverse community.
  • E. Mirabilis
    Mirabilis is a genus of flowering plants best known for ornamental species like the four o'clock flower, valued for their colorful, fragrant blooms that often open in the late afternoon.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5de0b98819094c32765e4cb3f9c completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.