Triple
T34499956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Christie (1930 film adaptation screenplay) |
E885720
|
entity |
| Predicate | productionCompanyOfAdaptedFilm |
P38923
|
FINISHED |
| Object | Metro-Goldwyn-Mayer |
—
|
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: Metro-Goldwyn-Mayer | Statement: [Anna Christie (1930 film adaptation screenplay), productionCompanyOfAdaptedFilm, Metro-Goldwyn-Mayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionCompanyOfAdaptedFilm Context triple: [Anna Christie (1930 film adaptation screenplay), productionCompanyOfAdaptedFilm, Metro-Goldwyn-Mayer]
-
A.
filmAdaptationStudio
chosen
Indicates that a particular studio is responsible for producing or creating the film adaptation of a work.
-
B.
publisherOfAdaptation
Indicates that an entity serves as the publisher of a specific adaptation of another work.
-
C.
filmAdaptationOfWorkBy
Indicates that a film is an adaptation of a work created by the specified person or entity.
-
D.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original work.
-
E.
filmAdaptationPlatform
Indicates that a film adaptation is available or distributed on a particular platform or service.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 1, 2026, 2:01 a.m.