Triple
T976512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxboro Hot Tubs |
E21064
|
entity |
| Predicate | hasSound |
P22084
|
FINISHED |
| Object | retro 1960s rock and roll sound |
—
|
LITERAL 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: retro 1960s rock and roll sound | Statement: [Foxboro Hot Tubs, hasSound, retro 1960s rock and roll sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSound Context triple: [Foxboro Hot Tubs, hasSound, retro 1960s rock and roll sound]
-
A.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
B.
hasSpeech
Indicates that an entity produces, delivers, or is associated with a spoken utterance or verbal expression.
-
C.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
-
D.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
-
E.
soundCarrier
Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
- F. None of above. chosen
Provenance (4 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46344048190b7a13b8f3ad9f455 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a8a3b08190b4538e119b13f7f5 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.