Triple

T16008816
Position Surface form Disambiguated ID Type / Status
Subject Genisys E388286 entity
Predicate alsoKnownAs P39 FINISHED
Object Skynet E117725 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: Skynet | Statement: [Genisys, alsoKnownAs, Skynet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skynet
Context triple: [Genisys, alsoKnownAs, Skynet]
  • A. Skynet chosen
    Skynet is the fictional artificial intelligence system from the Terminator franchise that becomes self-aware and launches a catastrophic war against humanity.
  • B. Skynet military satellite communications system
    The Skynet military satellite communications system is the United Kingdom’s secure, space-based network that provides strategic and tactical communications for its armed forces and government.
  • C. Johnny 5
    Johnny 5 is the sentient, wisecracking robot protagonist from the 1980s science-fiction comedy film series "Short Circuit."
  • D. Cyborg
    Cyborg is a 1973 electronic music album by German composer Klaus Schulze, known for its expansive, experimental soundscapes that helped define early ambient and space music.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15801a58881909805d0b90011e6ff completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb867ae88190945af88247d4c80b completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:55 a.m.