Triple
T9426459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover |
E227274
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Lover |
E227274
|
NE 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: Lover | Statement: [Lover, track, Lover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lover Context triple: [Lover, track, Lover]
-
A.
Lover
"Lover" is a popular song composed by Richard Rodgers with lyrics by Lorenz Hart, first introduced in the 1932 film "Love Me Tonight" and later becoming a jazz and pop standard.
-
B.
Lover
chosen
Lover is Taylor Swift’s 2019 pop album characterized by its romantic themes, colorful aesthetic, and hit singles like “ME!” and “You Need to Calm Down.”
-
C.
Loud Love
"Loud Love" is a heavy, riff-driven grunge song by Soundgarden, recognized as one of the standout tracks from their early career.
-
D.
Dirty Computer
Dirty Computer is a critically acclaimed 2018 concept album and "emotion picture" by Janelle Monáe that blends R&B, pop, and funk with Afrofuturist themes and explorations of identity, sexuality, and freedom.
-
E.
Love or Nothing
Love or Nothing is a poetry collection by Scottish poet Douglas Dunn, noted for its emotionally resonant and finely crafted verse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1102f93488190bd1ae232c1e34830 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.