Triple
T7229272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-A'raf |
E154861
|
entity |
| Predicate | roleOfPeopleOnIt |
P75740
|
FINISHED |
| Object | recognize people of Paradise and Hell |
—
|
LITERAL 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: recognize people of Paradise and Hell | Statement: [Al-A'raf, roleOfPeopleOnIt, recognize people of Paradise and Hell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfPeopleOnIt Context triple: [Al-A'raf, roleOfPeopleOnIt, recognize people of Paradise and Hell]
-
A.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
B.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
C.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
D.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
E.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9e0ba248190a57a3b4fa8b858c7 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:54 p.m.