Triple
T26644408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Abd Allah |
E668865
|
entity |
| Predicate | associatedPersonFullName |
P24023
|
FINISHED |
| Object | Ahmad ibn Muhammad ibn Hanbal al-Shaybani |
—
|
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: Ahmad ibn Muhammad ibn Hanbal al-Shaybani | Statement: [Abu Abd Allah, associatedPersonFullName, Ahmad ibn Muhammad ibn Hanbal al-Shaybani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPersonFullName Context triple: [Abu Abd Allah, associatedPersonFullName, Ahmad ibn Muhammad ibn Hanbal al-Shaybani]
-
A.
associatedPersonField
Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
-
B.
associatedName
chosen
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
C.
namedForPersonFullName
Indicates that an entity is named after a specific person, identified by that person’s full name.
-
D.
namedPersonAssociation
Indicates a relationship where one entity is associated with or identified by a specific personal name.
-
E.
associatedOrganizationFullName
Indicates that an entity is linked to an organization by specifying the organization’s complete, official name.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
Created at: April 27, 2026, 2:30 a.m.