Triple
T2172474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ding-Dong! The Witch Is Dead |
E48456
|
entity |
| Predicate | filmCharacterWhoSings |
P14884
|
FINISHED |
| Object | Munchkins |
—
|
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: Munchkins | Statement: [Ding-Dong! The Witch Is Dead, filmCharacterWhoSings, Munchkins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCharacterWhoSings Context triple: [Ding-Dong! The Witch Is Dead, filmCharacterWhoSings, Munchkins]
-
A.
sungByCharacter
chosen
Indicates that a song or musical piece is performed vocally by a specific character.
-
B.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
C.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
D.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
filmSoundtrackFor
Indicates that a particular soundtrack is created for, associated with, or used as the official musical accompaniment to a specific film.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.