Triple

T6011391
Position Surface form Disambiguated ID Type / Status
Subject 1'2 Many... E133839 entity
Predicate performer P1363 FINISHED
Object Common E2160 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: Common | Statement: [1'2 Many..., performer, Common]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Common
Context triple: [1'2 Many..., performer, Common]
  • A. Common chosen
    Common is an American rapper, actor, and activist known for his socially conscious lyrics and influential role in conscious hip-hop.
  • B. Comum
    Comum, known today as Como, is an ancient town in northern Italy near Lake Como that was an important Roman settlement and later a notable medieval and Renaissance center.
  • C. Common Voice
    Common Voice is an open-source, crowdsourced dataset of voice recordings created to help train and improve speech recognition technologies for diverse languages and accents.
  • D. Commons
    Commons is the commonly used abbreviated name for the House of Commons, the lower house of the Parliament of the United Kingdom.
  • E. Normal
    Normal is a central Illinois town best known as the home of Illinois State University and part of the twin-city community with Bloomington.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f5159bc8190a988293bbbb99d24 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a17bc88190b710a1858120a32d completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.