Triple

T16250518
Position Surface form Disambiguated ID Type / Status
Subject Cassie Ventura E394490 entity
Predicate modelingFor P17880 FINISHED
Object ASOS E1202404 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: ASOS | Statement: [Cassie Ventura, modelingFor, ASOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASOS
Context triple: [Cassie Ventura, modelingFor, ASOS]
  • A. ASOS chosen
    ASOS is a British online fashion and cosmetic retailer known for its wide range of trendy, affordable clothing and accessories aimed primarily at young adults.
  • B. Topshop
    Topshop is a British fast-fashion retailer known for its trendy, youth-oriented clothing and accessories.
  • C. Cotton On
    Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
  • D. AllSaints
    AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
  • E. Abercrombie
    Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459606f88190a53905186f7f73be completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.