Triple
T19251191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lovin' Spoonful |
E481395
|
entity |
| Predicate | hasHitSingle |
P15293
|
FINISHED |
| Object | Daydream |
—
|
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: Daydream | Statement: [The Lovin' Spoonful, hasHitSingle, Daydream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daydream Context triple: [The Lovin' Spoonful, hasHitSingle, Daydream]
-
A.
Daydream
Daydream is a critically acclaimed 1995 pop and R&B album by Mariah Carey that marked a creative and commercial peak in her career.
-
B.
Daydream
chosen
"Daydream" is a 1966 folk-rock/pop song by The Lovin' Spoonful, known for its laid-back, sunny feel and enduring popularity as a classic of the era.
-
C.
Daydream
"Daydream" is a song best known as the lead single from the album "Fantasy."
-
D.
Daydream
"Daydream" is a song that follows "Merry Christmas" in a sequence, likely as part of a music release or track listing.
-
E.
Daydreams
Daydreams is a mid-19th-century painting by French artist Thomas Couture, known for its refined academic style and introspective, romantic depiction of a young woman lost in thought.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb30bf6c819094c44aceb544a023 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.