Triple
T20249900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Clare family |
E498522
|
entity |
| Predicate | estatesPartitionedAmong |
P137869
|
FINISHED |
| Object | co-heiresses |
—
|
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: co-heiresses | Statement: [de Clare family, estatesPartitionedAmong, co-heiresses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estatesPartitionedAmong Context triple: [de Clare family, estatesPartitionedAmong, co-heiresses]
-
A.
partOfEstate
Indicates that something belongs to, is included within, or forms a component of a particular estate (such as a legal or property estate).
-
B.
heirOfEstate
Indicates that one entity is legally designated to inherit the estate or property of another entity, typically upon that entity’s death.
-
C.
propertyDivisionWith
chosen
Indicates a relationship in which two or more parties are involved in dividing or allocating ownership or rights to property between them.
-
D.
inheritanceDividedInto
Indicates that an inheritance is separated into distinct parts or shares among different recipients or categories.
-
E.
numberOfEstates
Indicates the total count of estates associated with a given entity or context.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a699b48190a2073a3bd8851125 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.