Triple
T14191043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down and Out |
E351712
|
entity |
| Predicate | isInCamronDiscographySection |
P1995
|
FINISHED |
| Object | notable songs |
—
|
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: notable songs | Statement: [Down and Out, isInCamronDiscographySection, notable songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCamronDiscographySection Context triple: [Down and Out, isInCamronDiscographySection, notable songs]
-
A.
hasDiscographyIn
Indicates that an entity has released or contributed to musical recordings within a particular region, market, or catalog context.
-
B.
hasPartInDiscography
chosen
Indicates that an entity (such as a song, album, or track) is included as a component within another entity’s discography.
-
C.
hasDiscographyUnderName
Indicates that an entity has released or published a body of recorded works (a discography) using a specified name or alias.
-
D.
hasDiscographyWith
Indicates a relationship where two or more musical entities are associated through a shared or jointly produced discography.
-
E.
hasDiscographyType
Indicates that an entity’s discography is classified as a specific type (such as studio albums, live albums, compilations, etc.).
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.