Triple

T17507652
Position Surface form Disambiguated ID Type / Status
Subject AGS E426363 entity
Predicate supportsAirlines P35742 FINISHED
Object American Eagle NE NERFINISHED

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: American Eagle | Statement: [AGS, supportsAirlines, American Eagle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Eagle
Context triple: [AGS, supportsAirlines, American Eagle]
  • A. American Eagle
    American Eagle is a classic wooden racing roller coaster known for its massive structure and high-speed dueling tracks at Six Flags Great America.
  • B. American Eagle Outfitters
    American Eagle Outfitters is a U.S.-based clothing and accessories retailer known for its casual, youth-oriented fashion and widespread mall and online presence.
  • C. American Eagle (brand) chosen
    American Eagle is the regional airline brand for American Airlines, operating shorter domestic and nearby international flights through a network of affiliated carriers.
  • D. Aeropostale
    Aeropostale is an American specialty retailer known for its casual apparel and accessories aimed primarily at teenagers and young adults.
  • E. Old Navy
    Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.