Triple
T33030089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillaume d’Orange |
E845140
|
entity |
| Predicate | centralFigureOfCycle |
P1183
|
FINISHED |
| Object | Cycle de Guillaume d’Orange |
—
|
NE NERFINISHED |
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: Cycle de Guillaume d’Orange | Statement: [Guillaume d’Orange, centralFigureOfCycle, Cycle de Guillaume d’Orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralFigureOfCycle Context triple: [Guillaume d’Orange, centralFigureOfCycle, Cycle de Guillaume d’Orange]
-
A.
centralCycle
Indicates that an entity participates in or constitutes the primary, central cycle within a larger cyclic structure or process.
-
B.
centralFigureTrait
Indicates that a particular trait or characteristic is associated with the central or primary figure in a given context.
-
C.
centralFigureColor
Indicates the color attribute assigned to the main or most prominent figure in a scene or composition.
-
D.
centralFigureVenerated
Indicates that the subject is regarded and honored as a primary or focal object of reverence or worship by others.
-
E.
hasCentralFigure
chosen
Indicates that something features a primary or most important figure at its core or focus.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:24 a.m.