Triple

T7239659
Position Surface form Disambiguated ID Type / Status
Subject Thomas McCarthy E155321 entity
Predicate hasStudent P48 FINISHED
Object James Bohman E188887 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: James Bohman | Statement: [Thomas McCarthy, hasStudent, James Bohman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Bohman
Context triple: [Thomas McCarthy, hasStudent, James Bohman]
  • A. James Bohman chosen
    James Bohman is an American philosopher known for his work in political philosophy and deliberative democracy, particularly in dialogue with and development of critical theory.
  • B. Peter Bohlin
    Peter Bohlin is an American architect renowned for his humanistic, context-sensitive designs and as a founding partner of the acclaimed firm Bohlin Cywinski Jackson, known for projects such as Apple’s iconic retail stores.
  • C. Karl Swenson
    Karl Swenson was an American character actor known for his numerous supporting roles in film, radio, and television during the mid-20th century.
  • D. Karl Sodersten
    Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
  • E. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.