Triple
T12356935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pumpkin Eater (screenplay) |
E294636
|
entity |
| Predicate | yearOfScreenplay |
P104738
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [The Pumpkin Eater (screenplay), yearOfScreenplay, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfScreenplay Context triple: [The Pumpkin Eater (screenplay), yearOfScreenplay, 1964]
-
A.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
B.
screenplayAwardedBy
Indicates that a screenplay has received an award from a particular awarding body or organization.
-
C.
filmFestivalPremiereYear
Indicates the year in which a film first premiered at a film festival.
-
D.
screenplayWrittenFor
Indicates that a screenplay was written specifically for a particular film, show, or production.
-
E.
screenplayRecord
Indicates that there exists a record or documentation associated with a particular screenplay, capturing information about its creation, version, or related details.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d9429ff2bc8190b09adf8f57fad451 |
completed | April 10, 2026, 6:34 p.m. |
Created at: April 8, 2026, 9:54 p.m.