Triple
T31381624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubayr ibn Mutim |
E800473
|
entity |
| Predicate | laterBecameCompanionOf |
P199485
|
FINISHED |
| Object | Prophet Muhammad |
—
|
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: Prophet Muhammad | Statement: [Jubayr ibn Mutim, laterBecameCompanionOf, Prophet Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBecameCompanionOf Context triple: [Jubayr ibn Mutim, laterBecameCompanionOf, Prophet Muhammad]
-
A.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
B.
successorCompanion
Indicates that one entity serves as the subsequent or replacement companion to another entity in a sequence or timeline.
-
C.
allegedCompanions
Indicates that two or more entities are claimed or reported to have been companions or associates, without confirming the truth of that relationship.
-
D.
hasFictionalCompanion
Indicates that one entity has another entity as its fictional companion, typically within a narrative or imaginative context.
-
E.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
| PDg | Predicate description generation | batch_69ff3e16527c81908c8d89da704ce012 |
completed | May 9, 2026, 2 p.m. |
Created at: April 29, 2026, 9:19 p.m.