Triple

T12318667
Position Surface form Disambiguated ID Type / Status
Subject Saw IV E293670 entity
Predicate stars P1956 FINISHED
Object Lyriq Bent E632038 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: Lyriq Bent | Statement: [Saw IV, stars, Lyriq Bent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyriq Bent
Context triple: [Saw IV, stars, Lyriq Bent]
  • A. Lyriq Bent chosen
    Lyriq Bent is a Canadian actor known for his roles in the Saw film series, the television miniseries Book of Negroes, and various film and TV dramas.
  • B. Travis Porter
    Travis Porter is an American hip hop group from Atlanta known for their party anthems and influence on the early 2010s club and mixtape scene.
  • C. Don Toliver
    Don Toliver is an American rapper and singer known for his melodic trap style and collaborations with major artists like Travis Scott and Kanye West.
  • D. Lecrae
    Lecrae is an American Christian hip hop artist, songwriter, and record producer known for blending faith-based lyrics with mainstream rap and winning multiple Grammy Awards.
  • E. Trey Songz
    Trey Songz is an American R&B singer, songwriter, and occasional actor known for his smooth vocals and sensual, contemporary R&B hits.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.