Triple

T12391570
Position Surface form Disambiguated ID Type / Status
Subject Bob Bishop E296005 entity
Predicate hasName P744 FINISHED
Object Bob Bishop E296005 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 Bishop | Statement: [Bob Bishop, hasName, Bob Bishop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Bishop
Context triple: [Bob Bishop, hasName, Bob Bishop]
  • A. Bob Bishop chosen
    Bob Bishop is a fictional character portrayed by actor Stephen Tobolowsky, best known as a morally conflicted high-ranking member of the Company in the television series "Heroes."
  • B. Arthur Bishop
    Arthur Bishop was the son of famed Canadian World War I flying ace William Avery "Billy" Bishop.
  • C. Dean Aldrich
    Dean Aldrich is an individual associated with the use or application of something referred to as "Aldrich," likely in a professional or specialized context.
  • D. Tom Manning
    Tom Manning is a senior government official in the Hellboy and B.P.R.D. comic universe who oversees and administratively directs the Bureau for Paranormal Research and Defense.
  • E. Larry Meadows
    Larry Meadows is a young, naive Navy sailor whose brief journey to military prison in the film "The Last Detail" becomes a poignant exploration of authority, friendship, and lost innocence.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.