Triple
T2289885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (You Make Me Feel Like) A Natural Woman |
E51476
|
entity |
| Predicate | performanceLanguage |
P35076
|
FINISHED |
| Object | English |
—
|
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 | Statement: [(You Make Me Feel Like) A Natural Woman, performanceLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceLanguage Context triple: [(You Make Me Feel Like) A Natural Woman, performanceLanguage, English]
-
A.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
B.
performance
Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
-
C.
firstPerformanceLanguage
chosen
Indicates the language in which a work was originally performed for the first time.
-
D.
vocalPerformanceNotedFor
Indicates that a particular vocal performance is recognized or distinguished for a specific quality, feature, or characteristic.
-
E.
pronunciationLanguage
Indicates the language in which the pronunciation of an entity (such as a word or name) is given.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69abbdbc8bcc8190a183481d766965a4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.