Triple
T38679387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Do, I Do in the Sky |
E943848
|
entity |
| Predicate | isPartOfFictionalShow |
P182578
|
FINISHED |
| Object | The Drowsy Chaperone’s internal musical |
—
|
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: The Drowsy Chaperone’s internal musical | Statement: [I Do, I Do in the Sky, isPartOfFictionalShow, The Drowsy Chaperone’s internal musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfFictionalShow Context triple: [I Do, I Do in the Sky, isPartOfFictionalShow, The Drowsy Chaperone’s internal musical]
-
A.
hasFictionalShowWithinShow
Indicates that one show contains or features another fictional show within its narrative.
-
B.
partOfFictionalShowProduction
Indicates that something is a component or element involved in the creation or production of a fictional show.
-
C.
isFictionalCharacter
Indicates that the subject is a character that exists only in fiction rather than in real life.
-
D.
isForFictionalWork
Indicates that something is intended to be used in, associated with, or specifically created for a fictional work.
-
E.
isFictionalWorkWithinWork
chosen
Indicates that one fictional work is contained or presented as a subordinate or embedded work within another fictional work.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00474f08908190bc8ae3b320ec887b |
completed | May 10, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_6a0045dc3bd48190a9e0520f3ef3f067 |
completed | May 10, 2026, 8:46 a.m. |
Created at: May 3, 2026, 4:33 p.m.