Triple

T11378452
Position Surface form Disambiguated ID Type / Status
Subject Lil Rel Howery E269529 entity
Predicate familyName P18 FINISHED
Object Howery E313128 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: Howery | Statement: [Lil Rel Howery, familyName, Howery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howery
Context triple: [Lil Rel Howery, familyName, Howery]
  • A. Howery chosen
    Howery is a surname most notably associated with Ken Howery, an American entrepreneur, investor, and co-founder of PayPal and Founders Fund.
  • B. Weeley
    Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
  • C. Wreh
    Wreh is a surname most notably associated with Liberian footballer Christopher Wreh, who played as a striker for clubs including Arsenal and the Liberia national team.
  • D. Welliver
    Welliver is the surname of American actor Titus Welliver, best known for his role as the title character in the television series "Bosch."
  • E. Weyer
    Weyer is a village and district within the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.