Triple

T20391424
Position Surface form Disambiguated ID Type / Status
Subject T-850 E498093 entity
Predicate predecessorModel P45141 FINISHED
Object T-800 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: T-800 | Statement: [T-850, predecessorModel, T-800]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-800
Context triple: [T-850, predecessorModel, T-800]
  • A. T-800 chosen
    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.
  • B. T-1000
    The T-1000 is a shape-shifting, liquid-metal assassin android and primary antagonist in the film "Terminator 2: Judgment Day."
  • C. T1000 train
    The T1000 train is an earlier generation of electric multiple unit rolling stock used on the Oslo Metro system in Norway.
  • D. Nexus-6 replicant
    A Nexus-6 replicant is a highly advanced, bioengineered android model from the Blade Runner universe, designed to closely mimic humans in appearance and behavior while possessing superior physical capabilities.
  • E. Kyle Reese
    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.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.