Triple
T32127776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love of Seven Dolls |
E820548
|
entity |
| Predicate | musicalAdaptationTitle |
P131519
|
FINISHED |
| Object | Carnival! |
—
|
NE NERFINISHED |
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: Carnival! | Statement: [Love of Seven Dolls, musicalAdaptationTitle, Carnival!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalAdaptationTitle Context triple: [Love of Seven Dolls, musicalAdaptationTitle, Carnival!]
-
A.
musicalAdaptationBy
Indicates that one work has been adapted into a musical by a specified creator or adapter.
-
B.
titleOfBookAdaptation
Indicates that one entity is the title of a book from which the other entity (an adaptation, such as a film or series) is derived.
-
C.
hasFilmAdaptationTitle
chosen
Indicates that a creative work has a film adaptation whose title is given by the related value.
-
D.
novelTitleAdaptedFrom
Indicates that the title of one work is derived from, based on, or adapted from the title of another work.
-
E.
filmAdaptationMusicBy
Indicates that the music for a film adaptation was composed or created by the specified person 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 1, 2026, 12:29 a.m.