Triple

T12002348
Position Surface form Disambiguated ID Type / Status
Subject Bess Laurence E285695 entity
Predicate cousin P1999 FINISHED
Object Rob Bhaer E492795 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: Rob Bhaer | Statement: [Bess Laurence, cousin, Rob Bhaer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rob Bhaer
Context triple: [Bess Laurence, cousin, Rob Bhaer]
  • A. Rob Bhaer chosen
    Rob Bhaer is the younger son of Jo March and Professor Friedrich Bhaer in Louisa May Alcott’s "Little Women" series.
  • B. Red Berenson
    Red Berenson is a legendary ice hockey coach and former NHL player best known for transforming the University of Michigan Wolverines into a perennial collegiate powerhouse.
  • C. Ralph Winters
    Ralph Winters was a film editor known for his work on numerous Hollywood movies across several decades.
  • D. Charles Halloway
    Charles Halloway is a reflective, middle-aged librarian and the morally conflicted father figure in Ray Bradbury’s dark fantasy novel "Something Wicked This Way Comes."
  • E. Teddy Brewster
    Teddy Brewster is a comically delusional character in the dark comedy play "Arsenic and Old Lace," who believes he is President Theodore Roosevelt and energetically reenacts his imagined military exploits.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.