Triple
T20956774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largo pétalo de mar |
E516120
|
entity |
| Predicate | translator |
P5475
|
FINISHED |
| Object | Nick Caistor |
—
|
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: Nick Caistor | Statement: [Largo pétalo de mar, translator, Nick Caistor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Caistor Context triple: [Largo pétalo de mar, translator, Nick Caistor]
-
A.
Nick Caistor
chosen
Nick Caistor is a British translator and writer renowned for bringing major works of Spanish and Latin American literature, including novels by Isabel Allende, into English.
-
B.
Nick Gillard
Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
-
C.
Nick Brimble
Nick Brimble is a British character actor best known for his imposing screen presence in film and television, including a notable role in the 1991 adventure film "Robin Hood: Prince of Thieves."
-
D.
Luke Stoughton
Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
-
E.
Nathan Cassells
Nathan Cassells is a writer best known for his work on the publication "What Now."
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6c2f1481908360fb86d2b6a8e4 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:28 p.m.