Triple
T2010356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladies of the Canyon |
E43674
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Clouds |
E43677
|
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: Clouds | Statement: [Ladies of the Canyon, follows, Clouds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clouds Context triple: [Ladies of the Canyon, follows, Clouds]
-
A.
Clouds
chosen
Clouds is a 1969 folk album by Canadian singer-songwriter Joni Mitchell, featuring introspective songwriting and including her classic song "Both Sides, Now."
-
B.
Hills cloud
The Hills cloud is a hypothesized dense inner region of the Oort Cloud thought to be a major reservoir of long-period comets surrounding the outer Solar System.
-
C.
To Reach the Clouds
To Reach the Clouds is Philippe Petit’s memoir recounting his daring high-wire walk between the Twin Towers of New York’s World Trade Center in 1974.
-
D.
CLOUD
CLOUD is a CERN experiment that studies how cosmic rays and atmospheric aerosols influence cloud formation and, consequently, Earth's climate.
-
E.
Behind the Cloud
"Behind the Cloud" is a business and leadership book by Salesforce founder Marc Benioff that chronicles the company’s growth and shares strategies for building a successful cloud-based enterprise.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.