Triple
T27158463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Closet |
E682589
|
entity |
| Predicate | originallyIntendedDuetWith |
P110830
|
FINISHED |
| Object | Madonna |
—
|
NE NERFINISHED |
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: Madonna | Statement: [In the Closet, originallyIntendedDuetWith, Madonna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyIntendedDuetWith Context triple: [In the Closet, originallyIntendedDuetWith, Madonna]
-
A.
duetPartnerOnWeCouldBeInLove
Indicates that two entities are duet partners specifically on the song "We Could Be In Love".
-
B.
partnerInMusicDuoWith
Indicates that two entities are members of the same musical duo, performing together as a two-person act.
-
C.
fromArtistDuo
Indicates that something originates from or is created by a pair of artists working together as a duo.
-
D.
musicalCollaborator
chosen
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
E.
lyricallyPairedWith
Indicates that two musical or poetic elements are intentionally matched or combined in lyrics, such as being written to accompany each other or to form a complementary lyrical pair.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 27, 2026, 9:17 a.m.