Triple

T18806246
Position Surface form Disambiguated ID Type / Status
Subject Manny Jacinto E459881 entity
Predicate familyName P18 FINISHED
Object Jacinto NE NERFINISHED

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: [Manny Jacinto, familyName, Jacinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacinto
Context triple: [Manny Jacinto, familyName, Jacinto]
  • A. Jacinto
    Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
  • B. Jacinto chosen
    Jacinto is a masculine given name of Spanish and Portuguese origin, derived from the Greek name Hyacinthos.
  • C. Consuella
    Consuella is a central character in the 1974 science fiction film "Zardoz," portrayed as an immortal member of the Eternals who initially opposes but becomes pivotal to the protagonist's transformative journey.
  • D. Flor silvestre
    Flor silvestre is a classic Mexican film best known for featuring iconic actress Dolores del Río in a leading role.
  • E. Reseda
    Reseda is a residential neighborhood in the central San Fernando Valley region of Los Angeles, known for its suburban character and diverse community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d7f8d08190a3e02fab6dc40bb5 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.