Triple
T550956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long Kiss Goodnight |
E11837
|
entity |
| Predicate | screenplaySalePriceUSD |
P7794
|
FINISHED |
| Object | 4000000 |
—
|
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: 4000000 | Statement: [The Long Kiss Goodnight, screenplaySalePriceUSD, 4000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenplaySalePriceUSD Context triple: [The Long Kiss Goodnight, screenplaySalePriceUSD, 4000000]
-
A.
screenplayBy
Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
-
B.
academyAwardForBestWritingScreenplay
Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
-
C.
bestOriginalScreenplayWinner
Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
-
D.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
-
E.
purchasePrice
chosen
Indicates the monetary amount paid or agreed to be paid to acquire something in a purchase transaction.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.