Triple
T37455534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Mind the Quality, Feel the Width |
E930788
|
entity |
| Predicate | workLocationOfFictionalBusiness |
P125184
|
FINISHED |
| Object | tailor’s shop in London |
—
|
LITERAL 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’s shop in London | Statement: [Never Mind the Quality, Feel the Width, workLocationOfFictionalBusiness, tailor’s shop in London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLocationOfFictionalBusiness Context triple: [Never Mind the Quality, Feel the Width, workLocationOfFictionalBusiness, tailor’s shop in London]
-
A.
fictionalHeadquartersLocation
Indicates the place where a fictional organization, group, or entity is based or has its main headquarters within a fictional context.
-
B.
fictionalOrganizationName
Indicates that the relationship specifies the name assigned to a fictional organization.
-
C.
workLocationOfFictionalCharacter
Indicates the place or organization where a fictional character is depicted as working within their narrative context.
-
D.
worksForFictionalOrganization
Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
-
E.
worksAtFictionalPlace
chosen
Indicates that an entity is employed at or associated with performing work in a fictional or imaginary location.
- F. None of above.
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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.