Triple
T22432225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthworks |
E554528
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Earthworks |
—
|
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: Earthworks | Statement: [Earthworks, notableWork, Earthworks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earthworks Context triple: [Earthworks, notableWork, Earthworks]
-
A.
Earthworks
chosen
Earthworks is a jazz fusion band led by drummer Bill Bruford, known for its innovative blend of acoustic and electronic elements.
-
B.
Foundation and Earth
Foundation and Earth is a science fiction novel by Isaac Asimov that continues his Foundation series, following a quest to rediscover humanity’s long-lost home planet.
-
C.
New Land
New Land is a novel by Bulgarian writer Ivan Vazov that explores social and political changes in Bulgaria at the turn of the 20th century.
-
D.
Terra Nostra
Terra Nostra is an ambitious, experimental historical novel by Carlos Fuentes that interweaves myth, history, and fantasy to explore the cultural and political formation of the Spanish-speaking world.
-
E.
Dry Diggings
Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.