Triple

T19546646
Position Surface form Disambiguated ID Type / Status
Subject Jack Kenny E489071 entity
Predicate notableWork P4 FINISHED
Object Warehouse 13 NE NERFINISHED

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: Warehouse 13 | Statement: [Jack Kenny, notableWork, Warehouse 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warehouse 13
Context triple: [Jack Kenny, notableWork, Warehouse 13]
  • A. Warehouse 13 chosen
    Warehouse 13 is a science fiction television series that follows a secret government team tasked with retrieving and safeguarding dangerous supernatural artifacts.
  • B. Area X
    Area X is a specialized basal ganglia nucleus in the songbird brain that plays a key role in song learning and vocal motor control.
  • C. The Fringe
    The Fringe is the world’s largest open-access arts festival, held annually in Edinburgh and renowned for its vast, eclectic program of comedy, theatre, music, and performance.
  • D. The Bureau
    The Bureau is a French television crime drama series starring Gilbert Melki as a member of France’s external intelligence agency, acclaimed for its realistic portrayal of espionage.
  • E. The Bureau
    The Bureau is a British film and television production company known for producing acclaimed independent and arthouse films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63876bacc8190b17e2087de679785 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.