Triple
T27370668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malise IV, Earl of Strathearn |
E690308
|
entity |
| Predicate | successorAsEarlOfStrathearn |
P186445
|
FINISHED |
| Object | Maurice de Moravia, Earl of Strathearn |
—
|
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: Maurice de Moravia, Earl of Strathearn | Statement: [Malise IV, Earl of Strathearn, successorAsEarlOfStrathearn, Maurice de Moravia, Earl of Strathearn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsEarlOfStrathearn Context triple: [Malise IV, Earl of Strathearn, successorAsEarlOfStrathearn, Maurice de Moravia, Earl of Strathearn]
-
A.
successorAsEarl
Indicates that one person became the next holder of the title of Earl after another person.
-
B.
successorAsEarlOfMorton
Indicates the person who became the next Earl of Morton after the previous holder of the title.
-
C.
successorAsEarlOfBothwell
Indicates the person who became the next Earl of Bothwell after the previous holder of that title.
-
D.
successorAsEarlOfPembroke
Indicates that one entity became the next holder of the title Earl of Pembroke after another entity.
-
E.
successorAsEarlOfHuntingdon
Indicates that one person became the next Earl of Huntingdon following another person in that title or office.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: April 27, 2026, 12:18 p.m.