Triple

T5214847
Position Surface form Disambiguated ID Type / Status
Subject Skynet E117725 entity
Predicate appearsIn P795 FINISHED
Object Terminator franchise E43058 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: Terminator franchise | Statement: [Skynet, appearsIn, Terminator franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminator franchise
Context triple: [Skynet, appearsIn, Terminator franchise]
  • A. Terminator chosen
    Terminator is a landmark science fiction action film franchise centered on time-traveling cyborgs and a future war between humans and machines.
  • B. Ted franchise
    The Ted franchise is a comedy film series centered on the crude, foul-mouthed living teddy bear created by Seth MacFarlane, blending raunchy humor with buddy-comedy elements.
  • C. Terminator X
    Terminator X is the pioneering DJ and turntablist best known for his work with the influential hip hop group Public Enemy.
  • D. Avatar franchise
    The Avatar franchise is a science fiction media series created by James Cameron, centered on the alien world of Pandora and its indigenous Na’vi people, spanning blockbuster films, theme park attractions, and related media.
  • E. Terminator Genisys
    Terminator Genisys is a 2015 science fiction action film in the Terminator franchise that reboots the series’ timeline with a time-travel plot and returning characters like Sarah Connor and the T-800.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a928dfc8190971a9e28d5c10446 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28faec0081909ed017ee7514ced2 completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:47 p.m.