Triple
T21656869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey the Handsome |
E534489
|
entity |
| Predicate | reignAsCountOfAnjouStart |
P108020
|
FINISHED |
| Object | 1129 |
—
|
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: 1129 | Statement: [Geoffrey the Handsome, reignAsCountOfAnjouStart, 1129]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsCountOfAnjouStart Context triple: [Geoffrey the Handsome, reignAsCountOfAnjouStart, 1129]
-
A.
reignAsCountOfAnjouFrom
chosen
Indicates that a person holds and exercises the title and authority of Count of Anjou starting from a specified time.
-
B.
reignAsCountOfAnjouTo
Indicates that one entity held and exercised the title and authority of Count of Anjou over another entity (typically a territory or domain).
-
C.
reignAsDukeOfBrittanyStart
Indicates the point in time when an individual begins their tenure or rule as the Duke of Brittany.
-
D.
reignStartAsDukeOfNormandy
Indicates the date or point in time when an individual began their rule holding the title of Duke of Normandy.
-
E.
reignAsKingOfAquitaineStart
Indicates the time at which an individual begins their period of ruling as king over Aquitaine.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5919c9c88190a2ddcf2cefee79a5 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.