Triple
T24065918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Still in Love with You |
E596086
|
entity |
| Predicate | hasMaleFemaleDuet |
P81870
|
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: [I'm Still in Love with You, hasMaleFemaleDuet, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaleFemaleDuet Context triple: [I'm Still in Love with You, hasMaleFemaleDuet, true]
-
A.
hasVocalDuet
Indicates that two entities perform or participate together in a vocal duet.
-
B.
hasNotablePerformerDuo
Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
-
C.
hasMaleLeadVocal
Indicates that the primary lead vocal in a performance, recording, or musical work is performed by a male singer.
-
D.
hasPerformerGenderComposition
chosen
Indicates the gender makeup of the group of performers involved in an event or performance.
-
E.
hasFemaleVocalist
Indicates that the subject entity features or includes at least one female vocalist as a performer.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5b86e88190901159a0343fe49f |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:40 p.m.