Triple
T24030626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William I, Count of Boulogne |
E595093
|
entity |
| Predicate | diedWithoutHeirs |
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: [William I, Count of Boulogne, diedWithoutHeirs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diedWithoutHeirs Context triple: [William I, Count of Boulogne, diedWithoutHeirs, true]
-
A.
hadNoLegitimateHeirs
chosen
Indicates that the person died without any legally recognized offspring who could inherit their title, property, or rights.
-
B.
hadNoSurvivingChildren
Indicates that the person did not have any children who were alive at the relevant point in time.
-
C.
diedAs
Indicates that an entity ceased to live in a particular role, state, or identity.
-
D.
onceDeceased
Indicates that an entity was previously dead at some point in time, regardless of its current state.
-
E.
diedUnmarried
Indicates that a person’s death occurred while they were not married.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76fbedc8190a2f936729cb69993 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:55 p.m.