Triple
T10285509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankly, my dear, I don’t give a damn. |
E241215
|
entity |
| Predicate | spokenInSceneType |
P21951
|
FINISHED |
| Object | breakup scene |
—
|
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: breakup scene | Statement: [Frankly, my dear, I don’t give a damn., spokenInSceneType, breakup scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInSceneType Context triple: [Frankly, my dear, I don’t give a damn., spokenInSceneType, breakup scene]
-
A.
isSpokenAlong
Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
-
B.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
C.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
D.
performedInSceneType
chosen
Indicates that an action or event was carried out within a scene of a specified type or category.
-
E.
isSpokenAround
Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or entity.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:40 a.m.