Triple
T38114452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar suit |
E951751
|
entity |
| Predicate | inFashionCanon |
P176376
|
FINISHED |
| Object | key example of the New Look silhouette |
—
|
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: key example of the New Look silhouette | Statement: [Bar suit, inFashionCanon, key example of the New Look silhouette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inFashionCanon Context triple: [Bar suit, inFashionCanon, key example of the New Look silhouette]
-
A.
usesCanon
Indicates that one entity employs or relies on another entity as its standard, reference, or authoritative source.
-
B.
canonType
chosen
Indicates the classification of something according to its status or role within an official or accepted canon.
-
C.
inCanonWith
Indicates that two or more works, events, or elements are officially recognized as belonging to the same narrative continuity or canon.
-
D.
givesCanon
Indicates that one entity provides or establishes an official or authoritative version (canon) of something for another entity or context.
-
E.
viewOnCanon
Indicates that one entity expresses or embodies a particular stance, interpretation, or judgment about what is considered canonical within a given context.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.