Triple
T23479172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Walker |
E570353
|
entity |
| Predicate | boat |
P26085
|
FINISHED |
| Object | Swallow |
—
|
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: Swallow | Statement: [Roger Walker, boat, Swallow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swallow Context triple: [Roger Walker, boat, Swallow]
-
A.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
B.
Swallow
Swallow is a surname most notably associated with Steve Swallow, an influential American jazz bassist and composer.
-
C.
Swallow
Swallow is a character in Benjamin Britten’s opera "Peter Grimes," serving as the town’s authoritative lawyer and magistrate.
-
D.
Swallow
chosen
Swallow is a vessel, likely a boat or ship, historically associated with an individual named Susan Walker.
-
E.
Swallow
Swallow is a 2019 psychological thriller film in which Haley Bennett stars as a newly pregnant woman who develops a dangerous compulsion to swallow inedible objects.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74e7e648190b89006dce7d7ce05 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:02 p.m.