Triple
T28668225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdul Alhazred |
E725637
|
entity |
| Predicate | AlAzifLaterKnownAs |
P165197
|
FINISHED |
| Object | Necronomicon |
—
|
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: Necronomicon | Statement: [Abdul Alhazred, AlAzifLaterKnownAs, Necronomicon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AlAzifLaterKnownAs Context triple: [Abdul Alhazred, AlAzifLaterKnownAs, Necronomicon]
-
A.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
B.
المالك
Indicates a relationship where one entity is the owner or possessor of another entity.
-
C.
ألف
Indicates that an entity is associated with or characterized by the concept denoted by "ألف" in relation to another entity.
-
D.
ظهرفي
Indicates that an entity appears, is shown, or is present within another entity (such as a place, medium, or context).
-
E.
عبد_فيها
Indicates that an entity worships, serves, or shows devoted obedience within or in the context of something (e.g., a place, system, or situation).
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 5:02 a.m.