Triple

T22156512
Position Surface form Disambiguated ID Type / Status
Subject Hampton Township School District E547551 entity
Predicate mascot P52 FINISHED
Object Talbots 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: Talbots | Statement: [Hampton Township School District, mascot, Talbots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talbots
Context triple: [Hampton Township School District, mascot, Talbots]
  • A. Talbots chosen
    Talbots is an American specialty retailer known for its classic women’s apparel, shoes, and accessories, operating through a network of stores and a strong catalog and online presence.
  • B. Lands' End
    Lands' End is an American retailer known for its classic, casual clothing, outerwear, and home goods, often associated with durable quality and catalog and online sales.
  • C. Marshalls
    Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
  • D. Forever 21
    Forever 21 is a fast-fashion retail chain known for trendy, affordable clothing and accessories aimed primarily at young consumers.
  • E. The Bon-Ton
    The Bon-Ton was a regional department store chain in the United States known for selling clothing, shoes, cosmetics, and home goods, primarily in mid-sized markets.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a29eb848190b0531ce7e45b1003 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.