Triple
T13420117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream River |
E313319
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Seagull |
E317257
|
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: Seagull | Statement: [Dream River, hasTrack, Seagull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seagull Context triple: [Dream River, hasTrack, Seagull]
-
A.
Seagull
chosen
"Seagull" is a track from Bill Callahan’s 2013 album *Dream River*, known for its atmospheric, introspective folk sound and poetic lyricism.
-
B.
Albatross
"Albatross" is a 1968 instrumental blues-rock piece by Fleetwood Mac, composed by Peter Green and renowned for its dreamy, atmospheric guitar sound.
-
C.
Чайка
Чайка is the original Russian title of Anton Chekhov’s classic 1896 play "The Seagull," a landmark work of modern drama exploring art, love, and existential disillusionment.
-
D.
Gulls
"Gulls" is a play by British dramatist Nick Dear, known for its sharp character study and exploration of personal relationships and emotional isolation.
-
E.
Storch
The Storch is a German World War II-era Fieseler Fi 156 liaison and observation aircraft renowned for its exceptional short takeoff and landing capabilities.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308493e481909da52f8bbcc0bd6b |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.