Triple

T2700124
Position Surface form Disambiguated ID Type / Status
Subject Avengers E59209 entity
Predicate enemy P4567 FINISHED
Object Ultron E210064 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: Ultron | Statement: [Avengers, enemy, Ultron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ultron
Context triple: [Avengers, enemy, Ultron]
  • A. Ultron chosen
    Ultron is a powerful, self-aware artificial intelligence supervillain in the Marvel universe who seeks to eradicate humanity to achieve what he believes is global peace.
  • B. Doctor Doom
    Doctor Doom is a brilliant but tyrannical supervillain and arch-enemy of the Fantastic Four in Marvel Comics, known for his mastery of both advanced technology and sorcery.
  • C. Thanos
    Thanos is a powerful cosmic warlord from Marvel Comics and the Marvel Cinematic Universe, obsessed with balancing the universe by wiping out half of all life using the Infinity Stones.
  • D. J.A.R.V.I.S.
    J.A.R.V.I.S. is the advanced artificial intelligence system created by Tony Stark in the Marvel Cinematic Universe that manages his technology and later evolves into the superhero Vision.
  • E. Jarvis
    Jarvis is the middle name of Henry Jarvis Raymond, the 19th-century American journalist and politician who co-founded The New York Times.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda34ba508190be8e2c9e4052adfc completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.