Triple
T18919302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Mortain |
E462803
|
entity |
| Predicate | RobertCountOfMortainWas |
P133798
|
FINISHED |
| Object | half-brother of William the Conqueror |
—
|
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: half-brother of William the Conqueror | Statement: [County of Mortain, RobertCountOfMortainWas, half-brother of William the Conqueror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RobertCountOfMortainWas Context triple: [County of Mortain, RobertCountOfMortainWas, half-brother of William the Conqueror]
-
A.
EarlMarshal
Indicates a person holds the office or role of Earl Marshal in relation to a sovereign, state, or ceremonial hierarchy.
-
B.
successorAsEarlOfMorton
Indicates the person who became the next Earl of Morton after the previous holder of the title.
-
C.
reignAsCountOfAnjouTo
Indicates that one entity held and exercised the title and authority of Count of Anjou over another entity (typically a territory or domain).
-
D.
reignAsCountOfAnjouFrom
Indicates that a person holds and exercises the title and authority of Count of Anjou starting from a specified time.
-
E.
predecessorAsDukeOfNormandy
Indicates that one entity previously held the title of Duke of Normandy immediately before another entity.
- F. None of above. chosen
Provenance (4 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c629527481909dad169f07df0da4 |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.