Triple
T11595465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Gulls |
E274987
|
entity |
| Predicate | usesNickname |
P2937
|
FINISHED |
| Object | Sea Gulls |
E274987
|
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: Sea Gulls | Statement: [Sea Gulls, usesNickname, Sea Gulls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea Gulls Context triple: [Sea Gulls, usesNickname, Sea Gulls]
-
A.
Sea Gulls
chosen
The Sea Gulls are the athletic teams representing Salisbury University in intercollegiate sports.
-
B.
The Seagulls
The Seagulls is the commonly used nickname for English football club Brighton & Hove Albion.
-
C.
Gulls
"Gulls" is a play by British dramatist Nick Dear, known for its sharp character study and exploration of personal relationships and emotional isolation.
-
D.
Seagull
"Seagull" is a track from Bill Callahan’s 2013 album *Dream River*, known for its atmospheric, introspective folk sound and poetic lyricism.
-
E.
Waves and Gulls
Waves and Gulls is a sculptural World War I memorial in Washington, D.C., depicting seagulls soaring above stylized ocean waves to honor the service of the U.S. Navy and Merchant Marine.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946790d08190924d60bb4b523250 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7b72c888190b069d0ebaebd31d9 |
completed | April 22, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:38 p.m.