Triple
T23062713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyad |
E574945
|
entity |
| Predicate | portraysRealPerson |
P10301
|
FINISHED |
| Object | Diana Nyad |
—
|
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: Diana Nyad | Statement: [Nyad, portraysRealPerson, Diana Nyad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Nyad Context triple: [Nyad, portraysRealPerson, Diana Nyad]
-
A.
Diana Nyad
chosen
Diana Nyad is an American long-distance swimmer and journalist best known for her record-setting, non-stop swim from Cuba to Florida at age 64.
-
B.
Nyad
Nyad is a biographical drama film depicting long-distance swimmer Diana Nyad's historic attempt to swim from Cuba to Florida at age 64.
-
C.
Gertrude Ederle
Gertrude Ederle was an American competitive swimmer who became the first woman to swim across the English Channel, breaking the existing men's record in 1926.
-
D.
Ellen MacArthur
Ellen MacArthur is a British yachtswoman famed for breaking the world record for the fastest solo circumnavigation of the globe and for her later leadership in promoting the circular economy.
-
E.
Suzanne Coston
Suzanne Coston is a television producer best known for her executive production work on the series "Beggars and Choosers."
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a0c3c881909f137ad511c216ac |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.