Triple
T35190706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fare Thee Well (Dink's Song) |
E1016111
|
entity |
| Predicate | hasUnknownOriginalAuthor |
P56607
|
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: [Fare Thee Well (Dink's Song), hasUnknownOriginalAuthor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnknownOriginalAuthor Context triple: [Fare Thee Well (Dink's Song), hasUnknownOriginalAuthor, true]
-
A.
hasUnknownAuthor
chosen
Indicates that the author of the entity is not known or cannot be identified.
-
B.
hasUnknownOriginalComposer
Indicates that the work’s original composer is not known or cannot be identified.
-
C.
hasUncertainOriginalName
Indicates that the entity’s original name is not known with certainty or is subject to doubt or ambiguity.
-
D.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
E.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 4:02 p.m.