Triple
T27487262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip of Valois |
E693771
|
entity |
| Predicate | monarchNumberInFrance |
P3023
|
FINISHED |
| Object | King Philip VI |
—
|
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 Philip VI | Statement: [Philip of Valois, monarchNumberInFrance, King Philip VI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchNumberInFrance Context triple: [Philip of Valois, monarchNumberInFrance, King Philip VI]
-
A.
monarchOfFrance
Indicates that one entity holds the position or title of monarch (king or queen) of France in relation to another entity.
-
B.
monarchNumber
chosen
Indicates the ordinal position or sequence number assigned to a monarch within a line of rulers.
-
C.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
-
D.
lastCapetianKingOfFrance
Indicates that the subject is the final monarch of France belonging to the Capetian royal dynasty.
-
E.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 1:03 p.m.