Triple

T3509675
Position Surface form Disambiguated ID Type / Status
Subject Victoria Tennant E74163 entity
Predicate notableWork P4 FINISHED
Object The Rag Trade E121164 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: The Rag Trade | Statement: [Victoria Tennant, notableWork, The Rag Trade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rag Trade
Context triple: [Victoria Tennant, notableWork, The Rag Trade]
  • A. The Rag Trade chosen
    The Rag Trade is a British television sitcom set in a small clothing factory, known for its sharp social satire and strong female characters.
  • B. The Jacket
    The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
  • C. The Ralph
    The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
  • D. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • E. The Man on the Box
    The Man on the Box is a 1925 American silent comedy film, based on Harold MacGrath’s novel, about a mischievous young man who disguises himself as a servant to pursue a romantic interest.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e71ae8819096ea39955c92076a completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.