Triple
T36600972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imam of the Nizari Ismaili Muslims |
E902911
|
entity |
| Predicate | officeHolderTitleVariant |
P201899
|
FINISHED |
| Object | Aga Khan |
—
|
NE NERFINISHED |
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: Aga Khan | Statement: [Imam of the Nizari Ismaili Muslims, officeHolderTitleVariant, Aga Khan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleVariant Context triple: [Imam of the Nizari Ismaili Muslims, officeHolderTitleVariant, Aga Khan]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
typicalOfficeHolderTitle
Indicates the standard or commonly used title typically held by the office holder of a given position or role.
-
C.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
D.
officeHolderMayUseTitle
Indicates that a person who holds a particular office is permitted to use a specified official title.
-
E.
officeHolderTitleDependsOn
Indicates that the specific title or designation of an office holder is determined by, or varies according to, another referenced factor or condition.
- F. None of above. chosen
Provenance (4 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a002f0839fc8190a874d3b0d0826d7e |
completed | May 10, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_6a002eae7b6481909974b321e2789b7e |
completed | May 10, 2026, 7:07 a.m. |
| PDg | Predicate description generation | batch_6a002f071de88190b1fa4f5531a6cea7 |
completed | May 10, 2026, 7:08 a.m. |
Created at: May 3, 2026, 4:11 p.m.