Triple
T8116616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super |
E189488
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Undertow |
E551222
|
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: Undertow | Statement: [Super, hasTrack, Undertow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Undertow Context triple: [Super, hasTrack, Undertow]
-
A.
Undertow
Undertow is a spinning roller coaster attraction at the Santa Cruz Beach Boardwalk in California.
-
B.
Undertow
chosen
Undertow is the 1993 debut studio album by American rock band Tool, noted for its dark, heavy sound and influential role in shaping alternative metal.
-
C.
River Suck
River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
-
D.
Achterwasser
Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
-
E.
Underneath
"Underneath" is a song by American pop-rock band Hanson, known for showcasing their more mature sound and songwriting beyond their early teen-pop success.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43320bf881909f97a235451bb3a4 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc944439488190b95788e3a77ee732 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.