Triple

T34192124
Position Surface form Disambiguated ID Type / Status
Subject Allegiance E877137 entity
Predicate choreographer P11856 FINISHED
Object Andrew Palermo E1129427 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: Andrew Palermo | Statement: [Allegiance, choreographer, Andrew Palermo]

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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71024de948190923c810ea99b83ed completed May 3, 2026, 9:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a385bb4813c819083d35f3c6c893e60 completed June 21, 2026, 9:46 p.m.
Created at: May 1, 2026, 1:55 a.m.