Triple
T27818050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Singer |
E702734
|
entity |
| Predicate | countryOfTelevisionSeriesOrigin |
P92561
|
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: [Jeff Singer, countryOfTelevisionSeriesOrigin, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfTelevisionSeriesOrigin Context triple: [Jeff Singer, countryOfTelevisionSeriesOrigin, United States]
-
A.
televisionSeriesCountryOfOrigin
Indicates the country where a television series was originally produced or first created.
-
B.
televisionSeriesDebutCountry
Indicates the country in which a television series was first released or premiered.
-
C.
televisionSeriesOrigin
chosen
Indicates the country, region, or place where a television series was originally produced or created.
-
D.
televisionAdaptationCountry
Indicates the country in which a television adaptation of a work was produced or primarily created.
-
E.
countryOfOriginOfFranchise
Indicates the country from which a particular franchise originally comes or was first established.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 27, 2026, 5:46 p.m.