Triple

T6414784
Position Surface form Disambiguated ID Type / Status
Subject Migos E127796 entity
Predicate hasMember P10 FINISHED
Object Offset E186789 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: Offset | Statement: [Migos, hasMember, Offset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Offset
Context triple: [Migos, hasMember, Offset]
  • A. Offset chosen
    Offset is an American rapper best known as a member of the hip-hop trio Migos and for his solo work and collaborations in contemporary trap music.
  • B. Align
    Align is a probiotic supplement brand from Procter & Gamble known for supporting digestive and gut health.
  • C. Alignment
    Alignment was a major center-left political alliance in Israel that played a dominant role in the country’s politics during the 1960s–1980s, primarily led by the Labor Party.
  • D. Cobb Offset
    Cobb Offset is a major transform fault system in the northeast Pacific Ocean that offsets segments of the Juan de Fuca Ridge.
  • E. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068e6bd3881909b1979de5cdf17fb completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640caaed881908ff9863b1b792ebc completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.