Triple

T9217948
Position Surface form Disambiguated ID Type / Status
Subject Kristanna Loken E221286 entity
Predicate notableRole P22 FINISHED
Object T-X in Terminator 3: Rise of the Machines E498094 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: T-X in Terminator 3: Rise of the Machines | Statement: [Kristanna Loken, notableRole, T-X in Terminator 3: Rise of the Machines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T-X in Terminator 3: Rise of the Machines
Context triple: [Kristanna Loken, notableRole, T-X in Terminator 3: Rise of the Machines]
  • A. T-X chosen
    The T-X is an advanced, shape-shifting Terminator model from the Terminator franchise, designed as a highly lethal, next-generation assassin android.
  • B. Terminator X
    Terminator X is the pioneering DJ and turntablist best known for his work with the influential hip hop group Public Enemy.
  • C. T-X program
    The T-X program is a U.S. Air Force initiative to develop and procure a next-generation advanced jet trainer aircraft to replace the aging T-38 Talon fleet.
  • D. T-1000
    The T-1000 is a shape-shifting, liquid-metal assassin android and primary antagonist in the film "Terminator 2: Judgment Day."
  • E. T1000 train
    The T1000 train is an earlier generation of electric multiple unit rolling stock used on the Oslo Metro system in Norway.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662427dc81908cb9bfacc5b9e0f5 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.