Triple
T10000018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Ekman |
E197300
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ekman |
E679663
|
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: Ekman | Statement: [Paul Ekman, familyName, Ekman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekman Context triple: [Paul Ekman, familyName, Ekman]
-
A.
Ekman
chosen
Ekman is a Swedish surname borne by several notable figures in Sweden’s cultural and public life.
-
B.
Ekman transport
Ekman transport is an oceanographic process in which wind-driven surface waters move at an angle to the wind direction due to the Coriolis effect, causing net water transport perpendicular to the wind.
-
C.
Ekman layer
The Ekman layer is the thin region of fluid near a boundary (such as the ocean surface or seafloor) where the balance between friction and the Coriolis effect causes the flow to spiral with depth.
-
D.
Bjerknes
Bjerknes is a Norwegian surname most notably associated with the influential family of physicists and meteorologists who helped found modern weather forecasting and climate science.
-
E.
Saffman
Saffman is a surname most notably associated with Philip G. Saffman, a prominent British-American applied mathematician and fluid dynamicist.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8dc9c081909b6d20909ada09cf |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2584bd6cc8190841353847dd2f00c |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.