Triple
T32046749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffroi de Villehardouin |
E818371
|
entity |
| Predicate | perspectiveInWork |
P8789
|
FINISHED |
| Object | pro-crusader |
—
|
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: pro-crusader | Statement: [Geoffroi de Villehardouin, perspectiveInWork, pro-crusader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perspectiveInWork Context triple: [Geoffroi de Villehardouin, perspectiveInWork, pro-crusader]
-
A.
workPerspective
Indicates a relationship where one entity expresses or embodies a particular viewpoint, approach, or interpretive angle on work or working.
-
B.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
D.
exploresPerspectiveOf
Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with another entity.
-
E.
workWithin
Indicates that one entity performs its activities or duties inside the boundaries, scope, or context defined by another entity.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4c2453481908a208530ea05cf57 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:20 a.m.