Triple
T7643959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Just Can’t Wait to Be King |
E173074
|
entity |
| Predicate | sequenceInFilm |
P77503
|
FINISHED |
| Object | early musical number |
—
|
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: early musical number | Statement: [I Just Can’t Wait to Be King, sequenceInFilm, early musical number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInFilm Context triple: [I Just Can’t Wait to Be King, sequenceInFilm, early musical number]
-
A.
sequenceDirector
Indicates that one entity serves as the director responsible for overseeing or managing a particular sequence associated with another entity.
-
B.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
C.
basedInFilm
Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
-
D.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
E.
sequenceInGames
Indicates that one game or event occurs as part of an ordered sequence within a series of games.
- F. None of above. chosen
Provenance (4 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:58 p.m.