Triple
T6691989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikrima ibn Abi Jahl |
E152648
|
entity |
| Predicate | roleAfterConversion |
P72233
|
FINISHED |
| Object | Muslim military commander |
—
|
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: Muslim military commander | Statement: [Ikrima ibn Abi Jahl, roleAfterConversion, Muslim military commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAfterConversion Context triple: [Ikrima ibn Abi Jahl, roleAfterConversion, Muslim military commander]
-
A.
roleAfterRefounding
Indicates the role or position an entity holds following the refounding or re-establishment of an organization, institution, or similar entity.
-
B.
roleAfterWar
Indicates the role or position an entity assumes following the end of a war or armed conflict.
-
C.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
D.
effectiveRole
Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
-
E.
redefinedRoleOf
Indicates that one entity has changed, updated, or newly specified the function, responsibilities, or position of another entity.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cd0d939081908ede0bb6ce19f559 |
completed | March 27, 2026, 6:31 p.m. |
Created at: March 27, 2026, 2:05 p.m.