Triple
T38217954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadrist current |
E1010735
|
entity |
| Predicate | associatedWithCleric |
P192508
|
FINISHED |
| Object | Muhammad Sadiq al-Sadr |
E2270538
|
NE 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: Muhammad Sadiq al-Sadr | Statement: [Sadrist current, associatedWithCleric, Muhammad Sadiq al-Sadr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCleric Context triple: [Sadrist current, associatedWithCleric, Muhammad Sadiq al-Sadr]
-
A.
hasClericalAssociation
chosen
Indicates a relationship in which an entity is connected to or involved with clerical roles, duties, or religious office.
-
B.
hasClericalProtagonist
Indicates that the main character in the work is a member of the clergy or holds a religious office.
-
C.
associatedWithSacrament
Indicates a relationship where something is connected or related to a specific sacrament in a religious or ritual context.
-
D.
associatedWithNobleOrder
Indicates that an entity has a formal or recognized connection to a noble order, such as membership, affiliation, or honorary association.
-
E.
associatedWithSoulsOf
Indicates a relationship in which something is connected, linked, or related specifically to the souls of certain entities.
- F. None of above.
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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41d6389c2881909bac2251310e09a8 |
completed | June 29, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.