Triple

T17121796
Position Surface form Disambiguated ID Type / Status
Subject Sycamore Partners E415483 entity
Predicate ownsOrHasOwned P13496 FINISHED
Object Talbots E1250665 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: Talbots | Statement: [Sycamore Partners, ownsOrHasOwned, Talbots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talbots
Context triple: [Sycamore Partners, ownsOrHasOwned, 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. 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.
  • E. Ross Dress for Less
    Ross Dress for Less is an American off-price retail chain offering discounted brand-name clothing, footwear, home décor, and accessories.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014147db18819083e6cfbb597687c1 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.