Triple

T21993955
Position Surface form Disambiguated ID Type / Status
Subject Ullman E543155 entity
Predicate hasNotableBearer P458 FINISHED
Object Jeffrey Ullman NE NERFINISHED

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: Jeffrey Ullman | Statement: [Ullman, hasNotableBearer, Jeffrey Ullman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Ullman
Context triple: [Ullman, hasNotableBearer, Jeffrey Ullman]
  • A. Jeffrey D. Ullman chosen
    Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
  • B. Michael J. Fischer
    Michael J. Fischer is an American computer scientist best known for his foundational contributions to distributed computing and fault-tolerant consensus, including co-authoring the FLP impossibility result.
  • C. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • D. David T. Wagner
    David T. Wagner is a screenwriter best known for co-writing the college comedy film "Van Wilder."
  • E. Ken F. Levin
    Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.