Triple
T11125041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dirt Girl |
E263111
|
entity |
| Predicate | titleTrackSubject |
P44694
|
FINISHED |
| Object | story of a girl growing up in the American South |
—
|
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: story of a girl growing up in the American South | Statement: [Red Dirt Girl, titleTrackSubject, story of a girl growing up in the American South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleTrackSubject Context triple: [Red Dirt Girl, titleTrackSubject, story of a girl growing up in the American South]
-
A.
titleTrackUsedAs
Indicates that a work serves as the title track for another work, such as an album, film, or series.
-
B.
isTitleTrack
Indicates that a song or track shares the same title as the album, film, or larger work it belongs to.
-
C.
trackName
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
-
D.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
titleTheme
chosen
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82fc5f88190b34c55de3d50f6a7 |
completed | April 9, 2026, 5:55 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.