Triple
T4808174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night They Drove Old Dixie Down (Joan Baez cover) |
E106996
|
entity |
| Predicate | hasStudioVersion |
P60242
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Night They Drove Old Dixie Down (Joan Baez cover), hasStudioVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudioVersion Context triple: [The Night They Drove Old Dixie Down (Joan Baez cover), hasStudioVersion, true]
-
A.
hasStudio
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
B.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
C.
hasStudioSpaces
Indicates that an entity provides or contains one or more studio spaces for use (e.g., for work, production, or creative activities).
-
D.
hasStandardVersion
Indicates that one entity serves as the official or canonical version of another entity.
-
E.
hasSpecialVersion
Indicates that an entity possesses or is associated with a distinct or customized version of another entity, differing from the standard or default form.
- F. None of above. chosen
Provenance (4 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:23 p.m.