Triple
T25391137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Alphonse de Bourbon |
E636168
|
entity |
| Predicate | styledBySupportersAs |
P42291
|
FINISHED |
| Object | King Louis XX 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: King Louis XX of France | Statement: [Louis Alphonse de Bourbon, styledBySupportersAs, King Louis XX of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styledBySupportersAs Context triple: [Louis Alphonse de Bourbon, styledBySupportersAs, King Louis XX of France]
-
A.
supporterStyle
Indicates the characteristic manner or approach in which a supporter provides their support.
-
B.
usedBySupporters
Indicates that something is utilized or employed by supporters of a person, group, cause, or entity.
-
C.
styledAs
Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
-
D.
styleHeldBy
Indicates that a particular style, design, or aesthetic is possessed, used, or embodied by a specific entity.
-
E.
perceivedBySupportersAs
chosen
Indicates that something is regarded or interpreted in a particular way specifically by its supporters.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5657015648190bee3b56dceac3b10 |
completed | May 2, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:49 p.m.