Triple

T4306241
Position Surface form Disambiguated ID Type / Status
Subject Michael Biehn E99960 entity
Predicate portrayed P1668 FINISHED
Object Kyle Reese E21261 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: Kyle Reese | Statement: [Michael Biehn, portrayed, Kyle Reese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle Reese
Context triple: [Michael Biehn, portrayed, Kyle Reese]
  • A. Kyle Reese chosen
    Kyle Reese is a time-traveling resistance fighter from the Terminator franchise, best known as John Connor’s father and protector of Sarah Connor against Skynet’s machines.
  • B. John Connor
    John Connor is the central human resistance leader in the Terminator franchise, destined to lead the fight against Skynet and its machines.
  • C. T-800
    The T-800 is a model of cybernetic assassin and soldier from the Terminator franchise, most famously portrayed by Arnold Schwarzenegger as a time-traveling killer robot with a human appearance.
  • D. Sarah Connor
    Sarah Connor is a central protagonist in the Terminator franchise, known as the mother of future resistance leader John Connor and a key figure in humanity's fight against Skynet.
  • E. Snake Plissken
    Snake Plissken is a hardened, one-eyed antihero and former Special Forces soldier turned outlaw from John Carpenter’s dystopian action films "Escape from New York" and "Escape from L.A."
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75382848190a4f2141a72e3fb3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:09 p.m.