Triple
T30470104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janey, Don't You Lose Heart |
E775268
|
entity |
| Predicate | isOuttakeFrom |
P144454
|
FINISHED |
| Object | Born in the U.S.A. |
—
|
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: Born in the U.S.A. | Statement: [Janey, Don't You Lose Heart, isOuttakeFrom, Born in the U.S.A.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOuttakeFrom Context triple: [Janey, Don't You Lose Heart, isOuttakeFrom, Born in the U.S.A.]
-
A.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
B.
isFromFilm
chosen
Indicates that something (such as a quote, character, scene, or element) originates from or appears in a particular film.
-
C.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
-
D.
hasNumberOfStills
Indicates that an entity is associated with a specific count of still images or frames.
-
E.
capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68714edd88190a49ba653a0360961 |
completed | May 2, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:11 p.m.