Triple
T16729047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Lost |
E406536
|
entity |
| Predicate | hasTitle |
P38
|
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: [Get Lost, hasTitle, Get Lost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Lost Context triple: [Get Lost, hasTitle, 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.
Lost & Found
Lost & Found is the critically acclaimed debut studio album by English singer-songwriter Jorja Smith, blending soulful R&B with jazz and contemporary pop influences.
-
E.
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.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874ad5b481908199e4d99ac4225e |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.