Triple

T14666960
Position Surface form Disambiguated ID Type / Status
Subject Coco E344401 entity
Predicate hasPart P35 FINISHED
Object Tailor Made E600063 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: Tailor Made | Statement: [Coco, hasPart, Tailor Made]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tailor Made
Context triple: [Coco, hasPart, Tailor Made]
  • A. Tailor Made chosen
    Tailor Made is a reality TV personality best known as a prominent contestant on the VH1 dating show "I Love New York 2."
  • B. The Tailor Re-tailored
    "The Tailor Re-tailored" is the English rendering of the Latin title "Sartor Resartus," Thomas Carlyle’s satirical philosophical work that critiques society and explores the symbolism of clothing.
  • C. Made By Design
    Made By Design is a Target-exclusive home essentials brand focused on simple, modern, and functional everyday household products.
  • D. Put That on Everything
    "Put That on Everything" is an R&B ballad by Brandy from her 1998 album "Never Say Never."
  • E. Last Seen Wearing
    "Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e63e6c8190ba67776719f2ff0c completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.