Triple

T15132440
Position Surface form Disambiguated ID Type / Status
Subject Armed and Dangerous E361452 entity
Predicate director P255 FINISHED
Object Mark L. Lester E441968 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: Mark L. Lester | Statement: [Armed and Dangerous, director, Mark L. Lester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark L. Lester
Context triple: [Armed and Dangerous, director, Mark L. Lester]
  • A. Mark L. Lester chosen
    Mark L. Lester is an American film director and producer best known for his work on 1980s action and genre films, including the cult classic "Commando."
  • B. David V. Lester
    David V. Lester is a film producer best known for his work on major Hollywood features such as the basketball drama "Blue Chips."
  • C. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • D. Mark Lerner
    Mark Lerner is an American businessman best known as a principal owner of the Washington Nationals Major League Baseball team and the son of real estate magnate Ted Lerner.
  • E. Stephen L. Neal
    Stephen L. Neal is a former Democratic U.S. Representative who served multiple terms in Congress representing a district in North Carolina during the late 20th century.
  • 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_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.