Triple
T22527258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حسن الإمام |
E556938
|
entity |
| Predicate | عدد_الأفلام_التقريبي |
P122045
|
FINISHED |
| Object | أكثر من 50 فيلماً |
—
|
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: أكثر من 50 فيلماً | Statement: [حسن الإمام, عدد_الأفلام_التقريبي, أكثر من 50 فيلماً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد_الأفلام_التقريبي Context triple: [حسن الإمام, عدد_الأفلام_التقريبي, أكثر من 50 فيلماً]
-
A.
numberOfTVFilms
Indicates the total count of television films associated with a given entity.
-
B.
numberOfFilmsWorkedOn
chosen
Indicates the total count of films on which the subject has worked or participated.
-
C.
numberOfFilmsProduced
Indicates the total count of films that an entity has produced.
-
D.
numberOfFilmsCovered
Indicates the total count of films that are included, addressed, or handled within a given context or entity.
-
E.
numberOfFilmsDirected
Indicates the total count of films that a given entity has directed.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.