Triple
T35563042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. W. (That Thing You Do!) |
E1027686
|
entity |
| Predicate | workAppearedInSettingCountry |
P117234
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [C. W. (That Thing You Do!), workAppearedInSettingCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAppearedInSettingCountry Context triple: [C. W. (That Thing You Do!), workAppearedInSettingCountry, United States]
-
A.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
B.
worksInCountry
Indicates that an entity performs its work or professional activities within the specified country.
-
C.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
D.
workPremiereCountry
Indicates the country in which a work (such as a film, play, or musical piece) was first premiered or publicly presented.
-
E.
isSetInCountry
chosen
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
- F. None of above.
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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:04 p.m.