Triple
T24294224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | as-Siddiq |
E605911
|
entity |
| Predicate | titleBearer |
P93996
|
FINISHED |
| Object | Abu Bakr ibn Abi Quhafa |
—
|
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: Abu Bakr ibn Abi Quhafa | Statement: [as-Siddiq, titleBearer, Abu Bakr ibn Abi Quhafa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleBearer Context triple: [as-Siddiq, titleBearer, Abu Bakr ibn Abi Quhafa]
-
A.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
B.
bearerTitle
chosen
Indicates that one entity holds or is designated by a specific formal title associated with a role, rank, or position.
-
C.
titleHolderWas
Indicates that an entity previously held a specific title or position before it passed to someone or something else.
-
D.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
-
E.
titleHolderBelongsTo
Indicates that the holder of a title is associated with or belongs to a particular entity, such as an organization, position, or domain.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915870c8819089c14de19ba2a5c5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.