Triple

T10553669
Position Surface form Disambiguated ID Type / Status
Subject Love, Inc. E249017 entity
Predicate executiveProducer P7225 FINISHED
Object Kim Tannenbaum E600892 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: Kim Tannenbaum | Statement: [Love, Inc., executiveProducer, Kim Tannenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Tannenbaum
Context triple: [Love, Inc., executiveProducer, Kim Tannenbaum]
  • A. Kim Tannenbaum chosen
    Kim Tannenbaum is a television producer best known for her work on the hit sitcom "Two and a Half Men."
  • B. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • C. Michael Waldstein
    Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
  • D. Peter Anspach
    Peter Anspach was one of the early New York brokers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
  • E. Leon Schiller
    Leon Schiller was a prominent Polish theater and film director, critic, and theoretician, regarded as one of the key figures in 20th-century Polish performing arts.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52710869c81909b6db1a190825bad completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69de843dfe708190a14dc54be56b112d completed April 14, 2026, 6:15 p.m.
Created at: April 6, 2026, 12:34 p.m.