Triple
T12223791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavin DeGraw (album) |
E291287
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Get Lost |
E406536
|
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: Get Lost | Statement: [Gavin DeGraw (album), hasPart, Get Lost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Lost Context triple: [Gavin DeGraw (album), hasPart, Get Lost]
-
A.
Get Lost
chosen
"Get Lost" is a track by Kanye West from his unfinished and Stem Player–exclusive album "Donda 2."
-
B.
Never Lost
"Never Lost" is a song by American rapper Mudboy, known for its gritty production and introspective lyrics.
-
C.
Lost & Found
"Lost & Found" is a film featuring veteran American actress Marla Gibbs, known for her acclaimed work in television and cinema.
-
D.
Call Me If You Get Lost
Call Me If You Get Lost is a critically acclaimed 2021 studio album by American rapper and producer Tyler, the Creator that blends rap, soul, and jazz influences within a conceptual, mixtape-style framework.
-
E.
Let’s Get Lost
"Let’s Get Lost" is a 1988 documentary film that chronicles the turbulent life and career of jazz trumpeter and singer Chet Baker.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca11f788190bad2efb6c83ffccb |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa6d3d481909852a6f2f90d7a41 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.