Triple
T35866371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William de Corbeil |
E1037099
|
entity |
| Predicate | coronationDateOfStephen |
P1508
|
FINISHED |
| Object | 1135-12-22 |
—
|
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: 1135-12-22 | Statement: [William de Corbeil, coronationDateOfStephen, 1135-12-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coronationDateOfStephen Context triple: [William de Corbeil, coronationDateOfStephen, 1135-12-22]
-
A.
coronationDate
chosen
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
B.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
-
C.
coronationAsKingOfWestFrancia
Indicates the event in which an individual is formally crowned and invested with the royal authority and title of King of West Francia.
-
D.
firstCoronationHeldFor
Indicates that a particular entity was the subject or beneficiary of the first coronation event associated with another entity.
-
E.
coronationDateAsKingOfEastFrancia
Indicates the date on which an entity was formally crowned as King of East Francia.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.