Triple
T17186292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Invisible Way |
E417116
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Plastic Cup |
E417122
|
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: Plastic Cup | Statement: [The Invisible Way, track, Plastic Cup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plastic Cup Context triple: [The Invisible Way, track, Plastic Cup]
-
A.
Plastic Cup
chosen
"Plastic Cup" is a song by the indie rock band Low, noted for its understated, melancholic style and reflective lyrics.
-
B.
Dixie cups and plates
Dixie cups and plates are a well-known line of disposable paper and plastic tableware commonly used for serving drinks and food at casual gatherings and everyday occasions.
-
C.
Tumbler
Tumbler is a close associate and ally of master car thief Memphis Raines in the action film "Gone in 60 Seconds."
-
D.
Tumbler
Tumbler was a series of early 1950s U.S. nuclear weapons tests conducted at the Nevada Test Site to study blast and radiation effects.
-
E.
Leaf Cup
Leaf Cup is a retro track cup in Mario Kart DS that features a selection of classic courses from earlier Mario Kart games.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fce16688190976d3760898ca5d8 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.