Triple

T22107656
Position Surface form Disambiguated ID Type / Status
Subject Alicia Sintes E546327 entity
Predicate notableAward P11 FINISHED
Object recognition associated with the 2017 Nobel Prize in Physics awarded to LIGO leaders LITERAL 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: recognition associated with the 2017 Nobel Prize in Physics awarded to LIGO leaders | Statement: [Alicia Sintes, notableAward, recognition associated with the 2017 Nobel Prize in Physics awarded to LIGO leaders]

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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291adc74819092c7753bb6f3768d completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.