Triple

T16286009
Position Surface form Disambiguated ID Type / Status
Subject Ehrenreich E395389 entity
Predicate hasNotableBearer P458 FINISHED
Object John Ehrenreich E903068 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: John Ehrenreich | Statement: [Ehrenreich, hasNotableBearer, John Ehrenreich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Ehrenreich
Context triple: [Ehrenreich, hasNotableBearer, John Ehrenreich]
  • A. John Ehrenreich chosen
    John Ehrenreich is an American psychologist, author, and academic known for his work on social class, mental health, and critiques of U.S. social policy.
  • B. Ben Ehrenreich
    Ben Ehrenreich is an American novelist and journalist known for his politically engaged writing and reportage, including works on Palestine and climate crisis.
  • C. Rich Ehrenreich
    Rich Ehrenreich is an American sports executive best known for owning and operating independent minor league baseball teams, including the Schaumburg Flyers.
  • D. Glenn Dobbs
    Glenn Dobbs was an American football player and coach best known as a star quarterback at Tulsa and in the AAFC before later leading the University of Tulsa’s football program.
  • E. Robert Mirels
    Robert Mirels is a film producer known for his work on the dark comedy "Ingrid Goes West."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.