Triple

T16623728
Position Surface form Disambiguated ID Type / Status
Subject Secret Society E403893 entity
Predicate hasMember P10 FINISHED
Object Sinestro E447849 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: Sinestro | Statement: [Secret Society, hasMember, Sinestro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinestro
Context triple: [Secret Society, hasMember, Sinestro]
  • A. Sinestro chosen
    Sinestro is a powerful former Green Lantern who becomes one of the Corps’ greatest enemies and the archenemy of Hal Jordan in DC Comics.
  • B. Ronan the Accuser
    Ronan the Accuser is a powerful Kree zealot and primary antagonist in the Marvel Cinematic Universe, best known for his role as the villain opposing the Guardians of the Galaxy.
  • C. Mister Negative
    Mister Negative is a Marvel Comics supervillain and crime lord with dual personalities and the power to manipulate dark energy, often serving as a major foe of Spider-Man.
  • D. Crimson Dynamo
    Crimson Dynamo is a recurring Marvel Comics supervillain identity characterized by a series of armored Russian operatives who serve as counterparts and adversaries to Iron Man.
  • E. Absorbing Man
    Absorbing Man is a Marvel Comics supervillain, often depicted as a formidable foe of heroes like Thor and the Hulk, who can magically absorb the properties of anything he touches.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37550ee308190931fd50aeebe1e7e completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.