Triple

T19777219
Position Surface form Disambiguated ID Type / Status
Subject American Eagle Outfitters E475032 entity
Predicate hasBrand P1500 FINISHED
Object Aerie 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: Aerie | Statement: [American Eagle Outfitters, hasBrand, Aerie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aerie
Context triple: [American Eagle Outfitters, hasBrand, Aerie]
  • A. Aerie chosen
    Aerie is an American lingerie and lifestyle brand known for its body-positive marketing and unretouched advertising campaigns.
  • B. Truefitt & Hill
    Truefitt & Hill is a historic London barbershop and grooming brand, renowned as one of the world’s oldest barbers and a long-standing purveyor of traditional gentlemen’s grooming services and products.
  • C. Trevalyn
    Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
  • D. Prettybird
    Prettybird is a creative production company known for producing innovative commercials, music videos, and film projects.
  • E. Prye
    Prye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65360cca08190957c36b1a440542c completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.