Triple
T32560690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Is That Alright? |
E832215
|
entity |
| Predicate | sungInFilmByCharacter |
P158643
|
FINISHED |
| Object | Ally Maine |
—
|
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: Ally Maine | Statement: [Is That Alright?, sungInFilmByCharacter, Ally Maine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sungInFilmByCharacter Context triple: [Is That Alright?, sungInFilmByCharacter, Ally Maine]
-
A.
sungInFilmBy
chosen
Indicates that a particular song was vocally performed in a film by a specific person or group.
-
B.
characterInFilmReleasedIn
Indicates that a character appears in a film that was released in a specified year or time period.
-
C.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
D.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
E.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c6059f6481908d3e3ad74e5fca4d |
completed | May 3, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:03 a.m.