Triple

T16497928
Position Surface form Disambiguated ID Type / Status
Subject Van Weezer E400731 entity
Predicate producer P490 FINISHED
Object Jake Sinclair E1217195 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: Jake Sinclair | Statement: [Van Weezer, producer, Jake Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Sinclair
Context triple: [Van Weezer, producer, Jake Sinclair]
  • A. Jake Sinclair chosen
    Jake Sinclair is an American record producer and songwriter known for his work with artists such as Weezer, Panic! at the Disco, and Fall Out Boy.
  • B. Ben Sinclair
    Ben Sinclair is an American actor, writer, and director best known as the co-creator and star of the HBO series "High Maintenance."
  • C. Ryan Sinclair
    Ryan Sinclair is a companion of the Thirteenth Doctor in the television series Doctor Who, known for his bravery and growth throughout their time-traveling adventures.
  • D. Mark Sinclair
    Mark Sinclair is the birth name of American actor and producer Vin Diesel, best known for starring as Dominic Toretto in the Fast & Furious film franchise.
  • E. Mark Sinclair
    Mark Sinclair is a pseudonym used by 19th-century American author Metta Fuller Victor, known for her early contributions to detective and dime novel fiction.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3505f48190a6891a5f29377212 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.