Triple
T16319177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Tự Đức |
E396245
|
entity |
| Predicate | hadNoBiologicalHeirs |
P40543
|
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: [Emperor Tự Đức, hadNoBiologicalHeirs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNoBiologicalHeirs Context triple: [Emperor Tự Đức, hadNoBiologicalHeirs, true]
-
A.
hadNoSurvivingChildren
chosen
Indicates that the person did not have any children who were alive at the relevant point in time.
-
B.
madeHeirBy
Indicates that one entity is designated or appointed as the heir of another entity.
-
C.
lastLegitimateMaleHeirOf
Indicates that one entity is the final male descendant in a legitimate line of succession or inheritance from another entity.
-
D.
hasLineOfSuccession
Indicates that one entity is designated to follow or replace another in a defined order of succession.
-
E.
notPrimaryHeir
Indicates that the referenced person is explicitly not the main or principal heir in an inheritance or succession 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b4ad448190b2b195a5e0032c6e |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.