Triple
T21677251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The French Album |
E535002
|
entity |
| Predicate | containsAdaptationsOf |
P43664
|
FINISHED |
| Object | English-language 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: English-language songs | Statement: [The French Album, containsAdaptationsOf, English-language songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAdaptationsOf Context triple: [The French Album, containsAdaptationsOf, English-language songs]
-
A.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
B.
hasAdaptationRoleIn
Indicates that an entity serves a specific adaptation-related role or function within another entity, process, or context.
-
C.
isAdaptation
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
D.
hasBeenAdaptedBy
Indicates that an original work has been transformed or re-created into a new form or medium by a particular adapter.
-
E.
adaptedWithin
Indicates that one entity has been modified, adjusted, or tailored to function appropriately within the context, scope, or boundaries defined 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a105b888190820b894d16c1ab77 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:42 p.m.