Triple
T7497654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ned and Stacey |
E177173
|
entity |
| Predicate | hasOpeningThemeType |
P17856
|
FINISHED |
| Object | instrumental theme |
—
|
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: instrumental theme | Statement: [Ned and Stacey, hasOpeningThemeType, instrumental theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningThemeType Context triple: [Ned and Stacey, hasOpeningThemeType, instrumental theme]
-
A.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
-
B.
hasOpeningType
chosen
Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
-
C.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
D.
hasOpeningFeature
Indicates that an entity possesses a specific characteristic, element, or attribute related to its opening or entry point.
-
E.
hasOpening
Indicates that one entity possesses or features an opening, gap, or entrance that allows access, passage, or exposure.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:44 p.m.