Triple
T18038959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Hermida |
E431588
|
entity |
| Predicate | roleInSocietyOfTheSnow |
P129564
|
FINISHED |
| Object | producer |
—
|
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: producer | Statement: [Sandra Hermida, roleInSocietyOfTheSnow, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSocietyOfTheSnow Context triple: [Sandra Hermida, roleInSocietyOfTheSnow, producer]
-
A.
roleOfSnowyFleet
Indicates that one entity serves a specific role or function within the context of a "Snowy Fleet" or snow-related fleet operation.
-
B.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
C.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
D.
winterAscentKnownFor
Indicates that an entity is recognized or notable specifically for a winter ascent of a particular route, peak, or climb.
-
E.
hasSnowfield
Indicates that an entity possesses, contains, or is characterized by a snow-covered field or area.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3cbe8c8190ba216eeebfc3cbec |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:25 a.m.