Triple

T7976252
Position Surface form Disambiguated ID Type / Status
Subject Daniel Hernandez E185452 entity
Predicate notableWork P4 FINISHED
Object Tati E125941 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: Tati | Statement: [Daniel Hernandez, notableWork, Tati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tati
Context triple: [Daniel Hernandez, notableWork, Tati]
  • A. Tati chosen
    "Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
  • B. Fernandel
    Fernandel was a beloved French comic actor and singer, famed for his expressive face and roles in classic mid-20th-century films such as the Don Camillo series.
  • C. Tati Gabrielle
    Tati Gabrielle is an American actress known for her roles in television series like "Chilling Adventures of Sabrina" and "You" as well as in major films.
  • D. Tatís
    Tatís is the surname of the Dominican baseball family that includes MLB star Fernando Tatís Jr.
  • E. Baron Hector Hulot
    Baron Hector Hulot is a central figure in Honoré de Balzac’s novel "La Cousine Bette," portrayed as a once-distinguished but morally weak and womanizing government official whose excesses bring ruin upon his family.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0c39e248190a146c1f2fd815f26 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.