Triple
T34207560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 101 Marvellous Movies You May Have Missed |
E877554
|
entity |
| Predicate | numberOfWorksDiscussed |
—
|
GENERATED |
| Object | 101 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorksDiscussed Context triple: [101 Marvellous Movies You May Have Missed, numberOfWorksDiscussed, 101]
-
A.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
B.
notableWorkDiscussed
Indicates that a particular work (such as a book, film, or artwork) is the subject of discussion, analysis, or commentary in relation to another entity.
-
C.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
D.
approximateNumberOfWorks
Indicates an estimated or roughly calculated count of works associated with an entity.
-
E.
numberOfDialogues
Indicates the total count of dialogues associated with or occurring between the referenced entities.
- F. None of above.
Provenance (1 batch)
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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:55 a.m.