Triple
T25575429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Alphonse, Duke of Anjou |
E641092
|
entity |
| Predicate | LegitimistRegnalName |
P25963
|
FINISHED |
| Object | Louis XX |
—
|
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: Louis XX | Statement: [Louis Alphonse, Duke of Anjou, LegitimistRegnalName, Louis XX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LegitimistRegnalName Context triple: [Louis Alphonse, Duke of Anjou, LegitimistRegnalName, Louis XX]
-
A.
coronatedPersonRegnalName
Indicates the official regnal name that a person assumes upon being coronated.
-
B.
monarchName
Indicates the personal name or official regnal name of a monarch in the relationship.
-
C.
tookRegnalName
chosen
Indicates that a person adopted and used a specific official regnal name upon assuming a throne or sovereign rulership.
-
D.
eraNameUsedDuringReign
Indicates that a particular era name was officially used throughout the duration of a ruler's reign.
-
E.
reignDurationNickname
Indicates the commonly used nickname or epithet associated with the duration or length of an entity’s reign.
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f92fb11c819086165e59ffef4910 |
completed | May 2, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 4:01 p.m.