Triple

T16432799
Position Surface form Disambiguated ID Type / Status
Subject Genesis 38 E399109 entity
Predicate featuresCharacter P626 FINISHED
Object Perez E437641 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: Perez | Statement: [Genesis 38, featuresCharacter, Perez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perez
Context triple: [Genesis 38, featuresCharacter, Perez]
  • A. Perez
    Perez is a character in the Saw horror film franchise, appearing as a law enforcement figure involved in investigating the Jigsaw killings.
  • B. Perez chosen
    Perez is a biblical figure from the Book of Genesis, known as one of the twin sons of Judah and an ancestor in the lineage leading to King David.
  • C. Sergio Pérez
    Sergio Pérez is a Mexican Formula 1 racing driver known for his racecraft, tire management, and Grand Prix victories with top teams including Red Bull Racing.
  • D. Alonso
    Alonso is a Spanish given name of Germanic origin, widely used across the Spanish-speaking world and historically borne by numerous nobles, writers, and fictional characters.
  • E. Pedroza
    Pedroza is a Spanish-language surname borne by various notable individuals in fields such as sports, politics, and the arts.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32b9f2e8c81909c60b8fb78255e5f completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045872a688190bcab27c6a2b952cd completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.