Triple
T9068996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riff |
E217313
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Cool |
E217317
|
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: Cool | Statement: [Riff, notableSong, Cool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cool Context triple: [Riff, notableSong, Cool]
-
A.
Cool
chosen
"Cool" is a jazz-influenced musical number from *West Side Story* that emphasizes tension, self-control, and simmering emotion among the characters.
-
B.
Cool
"Cool" is a 2019 pop single by the Jonas Brothers, known for its breezy, retro-inspired sound and references to contemporary pop culture.
-
C.
Cool
"Cool" is an R&B song by Anthony Hamilton known for its smooth, laid-back groove and soulful vocals.
-
D.
Cool
"Cool" is a mid-2000s pop song by Gwen Stefani reflecting on a past relationship that has evolved into a comfortable friendship.
-
E.
Chill
"Chill" is a laid-back, jazzy background music track from the puzzle video game Dr. Mario, known for its relaxed groove that contrasts with the game's fast-paced gameplay.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffde470388190ae88a96654404410 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.