Triple

T10598114
Position Surface form Disambiguated ID Type / Status
Subject Are You the One? E275669 entity
Predicate executiveProducer P7225 FINISHED
Object Howard Schultz E874479 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: Howard Schultz | Statement: [Are You the One?, executiveProducer, Howard Schultz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Schultz
Context triple: [Are You the One?, executiveProducer, Howard Schultz]
  • A. Howard Schultz chosen
    Howard Schultz is a television producer best known for creating the reality dating series "Are You the One?" and other unscripted entertainment shows.
  • B. Howard Schultz
    Howard Schultz is an American businessman best known for transforming Starbucks into a global coffeehouse chain and serving multiple terms as its CEO and chairman.
  • C. Mike O’Leary
    Mike O’Leary is a British football executive best known for serving as chairman of Ipswich Town Football Club.
  • D. Roger Conant
    Roger Conant was an early English colonist and leader best known for establishing the settlement that became Salem, Massachusetts in the 17th century.
  • E. Anthony Hsieh
    Anthony Hsieh is an American entrepreneur best known as the founder and former CEO of loanDepot, one of the largest nonbank mortgage lenders in the United States.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded358248190ba9268a51b2805fc completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b6109f08190915953e0ab708981 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:28 p.m.