Triple

T12644584
Position Surface form Disambiguated ID Type / Status
Subject Steve Antin E301988 entity
Predicate relative P37 FINISHED
Object Jonathan Antin E995112 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: Jonathan Antin | Statement: [Steve Antin, relative, Jonathan Antin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Antin
Context triple: [Steve Antin, relative, Jonathan Antin]
  • A. Jonathan Antin chosen
    Jonathan Antin is an American celebrity hairstylist and former star of the reality TV show "Blow Out," known for his high-profile salon work in Beverly Hills.
  • B. Paul Resnick
    Paul Resnick is an American academic and researcher known for his pioneering work in recommender systems, online communities, and human-computer interaction.
  • C. Jonathan I. Schwartz
    Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
  • D. John Battelle
    John Battelle is an American entrepreneur, author, and media executive best known for co-founding Wired magazine and Federated Media Publishing and for his influential work chronicling and shaping the evolution of the internet industry.
  • E. Michael Kaplan
    Michael Kaplan is a composer and musician known for creating the music for the film "Burlesque."
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719a45d881908dd895836a225781 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:17 p.m.