Triple
T16671575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Change |
E405116
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Guero |
E405117
|
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: Guero | Statement: [Sea Change, followedBy, Guero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guero Context triple: [Sea Change, followedBy, Guero]
-
A.
Guero
chosen
Guero is a 2005 studio album by American musician Beck that blends alternative rock with eclectic, sample-heavy production and Latin-influenced sounds.
-
B.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
-
C.
Guaro
Guaro is a small locality within Cueto Municipality, likely a rural community in a Spanish-speaking region.
-
D.
Benijo
Benijo is a remote black-sand beach on the northern coast of Tenerife in the Canary Islands, known for its dramatic rock formations, powerful Atlantic waves, and striking sunsets.
-
E.
Guabirá
Guabirá is a Bolivian professional football club that competes in the country's top-tier league.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d31372c8190b9d73a9b7db51f0f |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:18 a.m.