Triple
T13419968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woke on a Whaleheart |
E313316
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Footprints |
E248016
|
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: Footprints | Statement: [Woke on a Whaleheart, hasTrack, Footprints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Footprints Context triple: [Woke on a Whaleheart, hasTrack, Footprints]
-
A.
Footprints
chosen
"Footprints" is a widely influential jazz composition by saxophonist Wayne Shorter, known for its modal harmony and iconic status in the modern jazz repertoire.
-
B.
Footsteps
"Footsteps" is a track from the band Nightlife, known for its atmospheric, emotionally driven sound within their alternative rock style.
-
C.
Footsteps
"Footsteps" is a popular song performed by American singer Steve Lawrence that became one of his best-known hits in the early 1960s.
-
D.
Footfalls
"Footfalls" is a one-woman play by Samuel Beckett, renowned for its minimalist staging and intense psychological focus, famously performed by actress Billie Whitelaw.
-
E.
First of Foot
First of Foot is the traditional nickname of the Royal Scots, the oldest infantry regiment in the British Army.
- 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_69f7398984f48190adaa1963d261d538 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:39 p.m.