Triple
T31112218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Fly Away |
E792978
|
entity |
| Predicate | hasTelevisionFilmConclusion |
P77501
|
FINISHED |
| Object | I'll Fly Away: Then and Now |
—
|
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: I'll Fly Away: Then and Now | Statement: [I'll Fly Away, hasTelevisionFilmConclusion, I'll Fly Away: Then and Now]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionFilmConclusion Context triple: [I'll Fly Away, hasTelevisionFilmConclusion, I'll Fly Away: Then and Now]
-
A.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
-
B.
hasTVShowWithinFilm
Indicates that a film contains or features a television show within its narrative or structure.
-
C.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
-
D.
endedWithFilm
chosen
Indicates that an event, series, or process concluded with the showing, release, or occurrence of a particular film.
-
E.
televisionFilmAdaptation
Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 29, 2026, 9:04 p.m.