Triple
T26492394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vert galant |
E669191
|
entity |
| Predicate | derivativeNamedAfter |
P164209
|
FINISHED |
| Object | Henry IV of France |
—
|
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: Henry IV of France | Statement: [Vert galant, derivativeNamedAfter, Henry IV of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivativeNamedAfter Context triple: [Vert galant, derivativeNamedAfter, Henry IV of France]
-
A.
derivativeDesignation
Indicates that one entity is formally identified as a derivative or adapted version of another entity.
-
B.
derivativeForm
Indicates that one entity is a form derived from, based on, or obtained by modification of another entity.
-
C.
derivativeRelation
Indicates that one entity is derived, obtained, or results from another through some transformation, computation, or dependency.
-
D.
derivativesType
Indicates the specific kind or category of derivative relationship that exists between two related entities.
-
E.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
- F. None of above. chosen
Provenance (4 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 1:05 a.m.