Triple
T15306142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cider House Rules (1999 film) score |
E365901
|
entity |
| Predicate | hasMainTitleTheme |
P103324
|
FINISHED |
| Object | Main Title from The Cider House Rules |
—
|
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: Main Title from The Cider House Rules | Statement: [The Cider House Rules (1999 film) score, hasMainTitleTheme, Main Title from The Cider House Rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainTitleTheme Context triple: [The Cider House Rules (1999 film) score, hasMainTitleTheme, Main Title from The Cider House Rules]
-
A.
hasMainTitleCue
chosen
Indicates that an entity is associated with a primary or main title cue used for identification or display.
-
B.
hasPrimaryTitle
Indicates that an entity is associated with its main or official title, distinguishing it from any alternative or secondary titles.
-
C.
hasMainTitleCharacter
Indicates that a work’s primary or main title is centered on, derived from, or explicitly names a particular character.
-
D.
hasTitleFeature
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
-
E.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.