Triple
T26753565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Egerton, 3rd Duke of Bridgewater |
E674606
|
entity |
| Predicate | heirless |
P123313
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Francis Egerton, 3rd Duke of Bridgewater, heirless, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heirless Context triple: [Francis Egerton, 3rd Duke of Bridgewater, heirless, true]
-
A.
notPrimaryHeir
Indicates that the referenced person is explicitly not the main or principal heir in an inheritance or succession context.
-
B.
disinherited
Indicates that one entity has been legally excluded from receiving an inheritance or succession rights that they might otherwise have been expected to obtain from another entity.
-
C.
hadNoLegitimateHeirs
chosen
Indicates that the person died without any legally recognized offspring who could inherit their title, property, or rights.
-
D.
heirOf
Indicates that one entity is the legal or designated successor who inherits from another entity, typically upon that entity’s death or transfer of rights.
-
E.
hadNoSurvivingChildren
Indicates that the person did not have any children who were alive at the relevant point in time.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618cea64c819087537ce89b2fec9c |
completed | May 2, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:54 a.m.