Triple
T17166145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty |
E416612
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Biscuits for Smut |
E1254170
|
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: Biscuits for Smut | Statement: [Betty, hasSingle, Biscuits for Smut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biscuits for Smut Context triple: [Betty, hasSingle, Biscuits for Smut]
-
A.
Biscuits for Smut
chosen
"Biscuits for Smut" is a song by the American alternative rock band Betty.
-
B.
The Biscuit Eater
The Biscuit Eater is a 1940 American drama film about a boy and his misfit bird dog, directed by Stuart Heisler and later remade by Disney in 1972.
-
C.
"Biscuits"
"Biscuits" is a track from Ghostface Killah’s 2004 hip-hop release *The Pretty Toney Album*, known for its gritty storytelling and soulful production.
-
D.
The Biscuitmen
The Biscuitmen is a traditional nickname for Reading Football Club, reflecting the town’s historic biscuit-making industry.
-
E.
Crumbs Off the Table
"Crumbs Off the Table" is a song by producer and DJ RJD2, known for its soulful, sample-based hip-hop sound.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc687788190864fa3922a31184d |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.