Triple

T2384631
Position Surface form Disambiguated ID Type / Status
Subject NeXT Inc. E46390 entity
Predicate keyPerson P256 FINISHED
Object Joanna Hoffman E49741 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: Joanna Hoffman | Statement: [NeXT Inc., keyPerson, Joanna Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanna Hoffman
Context triple: [NeXT Inc., keyPerson, Joanna Hoffman]
  • A. Joanna Hoffman chosen
    Joanna Hoffman is a marketing executive and former member of the original Macintosh team at Apple who later joined Steve Jobs at NeXT and is known for her influential role in shaping early personal computing products.
  • B. Jennifer Flavin
    Jennifer Flavin is an American former model and entrepreneur best known as the wife of actor Sylvester Stallone and co-founder of the skincare brand Serious Skincare.
  • C. Nina Loeb
    Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
  • D. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • E. Melissa Stark
    Melissa Stark is an American television sportscaster best known for her work as a sideline reporter on NFL broadcasts.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bc87d0819090cd9d19d748bcc3 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8bae2ec8190962479832bf7762e completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.