Triple
T16260977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Hunt |
E394751
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Outskirts |
E398058
|
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: Outskirts | Statement: [Sam Hunt, notableWork, Outskirts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outskirts Context triple: [Sam Hunt, notableWork, Outskirts]
-
A.
Outskirts
chosen
"Outskirts" is a country song by American singer-songwriter Sam Hunt that blends his signature storytelling with modern production and reflective lyrics about life beyond the city.
-
B.
Outskirts
Outskirts is a 1933 Soviet tragicomic film by director Boris Barnet that portrays the lives of villagers on the Russian front during World War I.
-
C.
The Lonely Hills
The Lonely Hills are a remote and sparsely inhabited highland region known for their isolation and rugged terrain.
-
D.
The Happy Hunting-Grounds
The Happy Hunting-Grounds is a travel and adventure book by Kermit Roosevelt recounting his experiences and observations during expeditions in the American West.
-
E.
The Cedars
The Cedars is a historic building in Chertsey, England, notable for housing the local Chertsey Museum and its collections.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3e5388190942b0237ab5d1f0f |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eee110c819088d99b80435ab70b |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.