Triple

T20674994
Position Surface form Disambiguated ID Type / Status
Subject Jarhead 2: Field of Fire E508134 entity
Predicate director P255 FINISHED
Object Don Michael Paul 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: Don Michael Paul | Statement: [Jarhead 2: Field of Fire, director, Don Michael Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Michael Paul
Context triple: [Jarhead 2: Field of Fire, director, Don Michael Paul]
  • A. Don Michael Paul chosen
    Don Michael Paul is an American filmmaker and former actor known for directing numerous direct-to-video action and genre films.
  • B. David Michael Frank
    David Michael Frank is an American composer best known for his work on film and television scores.
  • C. Jeff Michael
    Jeff Michael is a composer best known for his work on the science fiction television series "Star Trek: The Animated Series."
  • D. Robert Michael Morris
    Robert Michael Morris was an American actor best known for his comedic role as the eccentric acting teacher Mickey Deane on the HBO series "The Comeback."
  • E. Michael Petulla
    Michael Petulla is a musician best known as a member of the English indie folk band Noah and the Whale.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cdbec48190a945261c41d810ce completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.