Triple
T18351516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Brautigan |
E439676
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | In Watermelon Sugar |
—
|
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: In Watermelon Sugar | Statement: [Richard Brautigan, notableWork, In Watermelon Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Watermelon Sugar Context triple: [Richard Brautigan, notableWork, In Watermelon Sugar]
-
A.
In Watermelon Sugar
chosen
*In Watermelon Sugar* is Richard Brautigan’s 1968 postmodern novella that depicts a surreal, utopian commune called iDEATH through poetic, fragmented prose.
-
B.
Watermelon Sugar
"Watermelon Sugar" is a hit pop song by English singer Harry Styles, known for its summery sound and widespread commercial success.
-
C.
“Suga Baby”
“Suga Baby” is a track by Cee-Lo Green featured on his debut solo album, *Cee-Lo Green and His Perfect Imperfections*.
-
D.
Sugar, Sugar
"Sugar, Sugar" is a 1969 bubblegum pop song by The Archies that became a massive international hit and a defining track of the genre.
-
E.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.