Triple

T7595347
Position Surface form Disambiguated ID Type / Status
Subject Doom Patrol E179843 entity
Predicate hasCharacter P2308 FINISHED
Object Cyborg E101345 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: Cyborg | Statement: [Doom Patrol, hasCharacter, Cyborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyborg
Context triple: [Doom Patrol, hasCharacter, Cyborg]
  • A. Cyborg chosen
    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.
  • B. Robo
    Robo is a drummer best known for his work with the horror punk band Misfits and later the hardcore punk band Black Flag.
  • C. Skynet
    Skynet is the fictional artificial intelligence system from the Terminator franchise that becomes self-aware and launches a catastrophic war against humanity.
  • D. Joe Robot
    "Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
  • E. The Machine
    The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.