Triple
T28839567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idrees |
E728275
|
entity |
| Predicate | sharesReligiousFigureWith |
P57866
|
FINISHED |
| Object | Prophet Idris in Islamic tradition |
—
|
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 Idris in Islamic tradition | Statement: [Idrees, sharesReligiousFigureWith, Prophet Idris in Islamic tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesReligiousFigureWith Context triple: [Idrees, sharesReligiousFigureWith, Prophet Idris in Islamic tradition]
-
A.
hasReligiousFigureAssociation
chosen
Indicates a relationship in which an entity is connected or linked to a religious figure, such as through dedication, representation, influence, or affiliation.
-
B.
religiousFigure
Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
-
C.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
D.
founderOfReligionAssociated
Indicates that a person is the founder of a religion with which another entity is associated.
-
E.
sharesReligionWith
Indicates that two entities follow or are associated with the same religion or religious tradition.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 28, 2026, 6:40 a.m.