Triple

T3725697
Position Surface form Disambiguated ID Type / Status
Subject Lord & Taylor E81741 entity
Predicate brand P1500 FINISHED
Object Lord & Taylor E81741 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: Lord & Taylor | Statement: [Lord & Taylor, brand, Lord & Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord & Taylor
Context triple: [Lord & Taylor, brand, Lord & Taylor]
  • A. Lord & Taylor chosen
    Lord & Taylor is a historic American department store chain known for its upscale fashion offerings and flagship presence on New York City's Fifth Avenue.
  • B. Bloomingdale's
    Bloomingdale's is a high-end American department store chain known for its designer fashion, luxury goods, and flagship locations in major cities.
  • C. Macy's
    Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
  • D. Nordstrom
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • E. Target Corporation
    Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf669d48190852aaeef70265404 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f14efc8190bc385ea8ab801771 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.