Triple

T9400330
Position Surface form Disambiguated ID Type / Status
Subject T-1000 E226450 entity
Predicate alsoKnownAs P39 FINISHED
Object liquid metal Terminator E226450 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: liquid metal Terminator | Statement: [T-1000, alsoKnownAs, liquid metal Terminator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: liquid metal Terminator
Context triple: [T-1000, alsoKnownAs, liquid metal Terminator]
  • A. Terminator X
    Terminator X is the pioneering DJ and turntablist best known for his work with the influential hip hop group Public Enemy.
  • B. Terminator
    Terminator is a landmark science fiction action film franchise centered on time-traveling cyborgs and a future war between humans and machines.
  • C. Van Terminator
    The Van Terminator is Rob Van Dam’s signature high-impact diving kick, famous for its long-distance leap across the ring to strike an opponent in the corner.
  • D. T-1000 chosen
    The T-1000 is a shape-shifting, liquid-metal assassin android and primary antagonist in the film "Terminator 2: Judgment Day."
  • E. Cyborg
    Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5156b9588190bafb6b1c3ee3c0ed completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012753088190bc73b7c577109e76 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.