Triple
T13419971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woke on a Whaleheart |
E313316
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | The Wheel |
E1001541
|
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 Wheel | Statement: [Woke on a Whaleheart, hasTrack, The Wheel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wheel Context triple: [Woke on a Whaleheart, hasTrack, The Wheel]
-
A.
The Wheel
The Wheel is a prominent observation wheel attraction at ICON Park in Orlando, offering panoramic views of the city and surrounding area.
-
B.
The Wheel
"The Wheel" is a poem featured within W.B. Yeats's collection "The Tower," reflecting his characteristic themes of time, change, and the cyclical nature of life.
-
C.
The Wheel
The Wheel is a stage play that has been produced by the acclaimed Steppenwolf Theatre Company.
-
D.
The Wheel
The Wheel is a song by the band Shooting Rubberbands at the Stars, known for its melodic alternative rock style and introspective lyrics.
-
E.
The Wheel
chosen
The Wheel is a song featured on the album "Picture Perfect Morning" by American singer-songwriter Edie Brickell.
- 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.