Triple

T32165723
Position Surface form Disambiguated ID Type / Status
Subject Maurice Compte E821566 entity
Predicate hasRole P161 FINISHED
Object Horacio Carrillo E1468864 NE FINISHED

How this triple was built (1 step)

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: Horacio Carrillo | Statement: [Maurice Compte, hasRole, Horacio Carrillo]

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_69f3490699a48190bbef96b198e8fade completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba1f7c008190932bf0da8e41c73f completed May 3, 2026, 2:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a42239e6a808190a71c40a29ed57cc6 completed June 29, 2026, 7:49 a.m.
Created at: May 1, 2026, 12:33 a.m.