Triple

T12513029
Position Surface form Disambiguated ID Type / Status
Subject Bob Balaban E299127 entity
Predicate name P16 FINISHED
Object Bob Balaban E299127 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: Bob Balaban | Statement: [Bob Balaban, name, Bob Balaban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Balaban
Context triple: [Bob Balaban, name, Bob Balaban]
  • A. Bob Balaban chosen
    Bob Balaban is an American actor, director, and producer known for his character roles in films by directors like Steven Spielberg and Wes Anderson, as well as for his work in television and theater.
  • B. Phil Baran
    Phil Baran is an American chemist renowned for his pioneering work in synthetic organic chemistry and the development of innovative methods for constructing complex natural products.
  • C. Barry Ulanov
    Barry Ulanov was an American jazz critic, writer, and editor known for his influential work on modern jazz and its leading musicians in the mid-20th century.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. Larry Brezner
    Larry Brezner was an American film producer and talent manager known for producing popular comedies such as "Good Morning, Vietnam," "The 'Burbs," and "Ride Along."
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.