Triple
T18861734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last.fm |
E461326
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Tidal |
—
|
NE NERFINISHED |
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: Tidal | Statement: [Last.fm, integratesWith, Tidal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tidal Context triple: [Last.fm, integratesWith, Tidal]
-
A.
Tidal
chosen
Tidal is a subscription-based music streaming service known for its high-fidelity audio quality and artist-owned business model.
-
B.
Tidal
Tidal is the critically acclaimed 1996 debut studio album by American singer-songwriter Fiona Apple, known for its introspective lyrics and jazz-influenced alternative rock sound.
-
C.
The Tide
The Tide is a common shorthand for the University of Alabama’s storied Crimson Tide athletic programs, especially its powerhouse college football team.
-
D.
The Tide
The Tide is a light rail transit system serving the city of Norfolk in southeastern Virginia.
-
E.
High Tide
High Tide is a 1947 American film noir crime drama written by Robert Blees, known for its hardboiled newspaper setting and tense, fatalistic storyline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c06184d88190bd05413a07a8c9ce |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.