Triple
T16497931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Weezer |
E400731
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Crush Music |
E114268
|
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: Crush Music | Statement: [Van Weezer, label, Crush Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crush Music Context triple: [Van Weezer, label, Crush Music]
-
A.
Crush Music
chosen
Crush Music is an American music management and record company known for working with prominent rock and pop artists.
-
B.
Crush
Crush is a music album titled "Crush," most likely known as a studio release by the band Lettuce, a group recognized for its funk and soul-influenced sound.
-
C.
Crush
Crush is a coming-of-age romantic comedy film starring Auliʻi Cravalho that centers on queer teenage love and self-discovery.
-
D.
Crush
Crush is the laid-back, surfer-dude sea turtle from Disney-Pixar's "Finding Nemo" known for helping Marlin and Dory navigate the East Australian Current.
-
E.
Crush
"Crush" is a moody, soulful rock song by The Horrible Crowes that showcases their dark, Springsteen-influenced sound and emotionally charged lyricism.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e3505f48190a6891a5f29377212 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a168c081908f630b45bf85d9f6 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.