Triple

T12232538
Position Surface form Disambiguated ID Type / Status
Subject Captain America #117 E291508 entity
Predicate featuresCharacter P626 FINISHED
Object Falcon E202138 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: Falcon | Statement: [Captain America #117, featuresCharacter, Falcon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falcon
Context triple: [Captain America #117, featuresCharacter, Falcon]
  • A. Falcon
    The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
  • B. Falcon chosen
    Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
  • C. Falcon
    Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
  • D. Falcon
    "Falcon" is a popular electronic dance music track by French DJ and producer Michael Calfan, known for its uplifting house style and melodic energy.
  • E. Fighting Falcon
    Fighting Falcon is the nickname of the F-16, a widely used American multirole fighter aircraft known for its agility and versatility in combat.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555903b08190a8c70bf7eda47dff completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:51 p.m.