Triple
T35308280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Hadi ila’l-Haqq Yahya |
E1019696
|
entity |
| Predicate | successorsInfluenced |
P82182
|
FINISHED |
| Object | later Zaydi imams in Yemen |
—
|
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: later Zaydi imams in Yemen | Statement: [al-Hadi ila’l-Haqq Yahya, successorsInfluenced, later Zaydi imams in Yemen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorsInfluenced Context triple: [al-Hadi ila’l-Haqq Yahya, successorsInfluenced, later Zaydi imams in Yemen]
-
A.
successorFlagInfluence
Indicates that one entity’s status or behavior as a successor is affected or determined by a flag or indicator associated with another entity.
-
B.
successorRoleInfluence
Indicates that one role affects, shapes, or determines the characteristics, responsibilities, or authority of the role that succeeds it.
-
C.
successionInfluence
chosen
Indicates that one entity affects, shapes, or determines the succession or inheritance of another entity.
-
D.
successorImpacted
Indicates that a successor entity is affected or influenced as a result of the predecessor’s state, action, or outcome.
-
E.
hasSubsequentInfluence
Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
Created at: May 3, 2026, 4:03 p.m.