Triple
T13346891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybil Seely |
E317975
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Boat |
E951052
|
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: The Boat | Statement: [Sybil Seely, notableWork, The Boat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Boat Context triple: [Sybil Seely, notableWork, The Boat]
-
A.
The Boat
chosen
The Boat is a notable work associated with Joe Roberts, recognized for its creative and artistic significance.
-
B.
Big Boat
"Big Boat" is a 2016 studio album by the American jam band Phish, known for its eclectic rock sound and improvisational style.
-
C.
For a Boat
"For a Boat" is a song by American country artist Luke Bryan from his album "Born Here Live Here Die Here."
-
D.
The Boat on the Grass
The Boat on the Grass is a 1971 French drama film written and directed by Gérard Brach that explores the complex emotional dynamics between a young man, a woman, and a boy during a summer by the sea.
-
E.
The White Boat
The White Boat is a luminous seaside painting by Spanish Impressionist Joaquín Sorolla y Bastida, celebrated for its masterful depiction of light on water and Mediterranean coastal life.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.