Triple

T15132450
Position Surface form Disambiguated ID Type / Status
Subject Armed and Dangerous E361452 entity
Predicate starring P1507 FINISHED
Object Kenneth McMillan E724048 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: Kenneth McMillan | Statement: [Armed and Dangerous, starring, Kenneth McMillan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth McMillan
Context triple: [Armed and Dangerous, starring, Kenneth McMillan]
  • A. Kenneth McMillan
    Kenneth McMillan is a computer scientist known for his influential work in model checking and formal verification.
  • B. Kenneth McMillan chosen
    Kenneth McMillan was an American character actor known for his gruff, everyman presence in films and television during the 1970s and 1980s.
  • C. Robert McMillan
    Robert McMillan was a historical figure known as the original owner of the ship Balclutha, a notable sailing vessel from the late 19th century.
  • D. Kenneth Millar
    Kenneth Millar, better known by his pen name Ross Macdonald, was a Canadian-American crime writer renowned for his influential Lew Archer detective novels.
  • E. Gordon McIlwham
    Gordon McIlwham is a former Scottish rugby union player, best known for his role as a prop and for representing Scotland at international level.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b29a4c819087f8818e3f5788f5 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7fd3c448190b4b06fdc1ab2c6a7 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.