Triple
T27032912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeşilçam |
E680970
|
entity |
| Predicate | producedApproximateNumberOfFilms |
P72282
|
FINISHED |
| Object | thousands |
—
|
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: thousands | Statement: [Yeşilçam, producedApproximateNumberOfFilms, thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedApproximateNumberOfFilms Context triple: [Yeşilçam, producedApproximateNumberOfFilms, thousands]
-
A.
numberOfFilmsProduced
chosen
Indicates the total count of films that an entity has produced.
-
B.
numberOfFilmsWorkedOn
Indicates the total count of films on which the subject has worked or participated.
-
C.
numberOfFilmsDirected
Indicates the total count of films that a given entity has directed.
-
D.
composedForNumberOfFilms
Indicates the number of films for which an entity has composed music or a score.
-
E.
numberOfFilmsAppearedIn
Indicates the total count of distinct films in which a given entity has appeared.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 7:14 a.m.