Triple

T12574399
Position Surface form Disambiguated ID Type / Status
Subject IPC Magazines E300168 entity
Predicate notableWork P4 FINISHED
Object Valiant (comic) E738668 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: Valiant (comic) | Statement: [IPC Magazines, notableWork, Valiant (comic)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valiant (comic)
Context triple: [IPC Magazines, notableWork, Valiant (comic)]
  • A. Valiant
    Valiant is the knight-themed mascot representing Manhattanville College’s athletic teams.
  • B. Valiant
    Valiant is the surname of Leslie Valiant, a prominent computer scientist known for his foundational work in computational learning theory and complexity theory.
  • C. Valiant & Valiant
    Valiant & Valiant is a private detective agency in the film "Who Framed Roger Rabbit," co-founded and run by Eddie Valiant and his brother.
  • D. The Valiant
    The Valiant is a massive airborne aircraft carrier and command ship used by UNIT in the Doctor Who television series.
  • E. Valiant Comics chosen
    Valiant Comics is an American comic book publisher known for its interconnected superhero universe featuring characters like X-O Manowar, Bloodshot, and Harbinger.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a629fc8190a1c3b6777aad4527 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65597dc70819089ddc1794e9bd1b7 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 4:44 p.m.