Triple
T15226211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surf's Up |
E363884
|
entity |
| Predicate | featuredInstrument |
P12878
|
FINISHED |
| Object | French horn |
E357341
|
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: French horn | Statement: [Surf's Up, featuredInstrument, French horn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French horn Context triple: [Surf's Up, featuredInstrument, French horn]
-
A.
French horn
chosen
The French horn is a brass musical instrument known for its wide range and rich, mellow tone, commonly used in orchestras, film scores, and classical ensembles.
-
B.
English horn
The English horn is a double-reed woodwind instrument, lower in pitch than the oboe, known for its rich, melancholic tone often featured in orchestral and solo repertoire.
-
C.
Tuba
Tuba is a municipality in the Philippine province of Benguet known as a gateway to Baguio City and for its mountainous terrain and mining areas.
-
D.
Horn
Horn is a surname most prominently associated with English music producer and musician Trevor Horn, known for his influential work in pop and rock music.
-
E.
Kornhorn
Kornhorn is a small village in the Dutch province of Groningen, known as part of the rural municipality of Grootegast.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd379ac081909ebb3a18c2ee3b3c |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.