Triple
T37214199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer Andy Renko |
E922689
|
entity |
| Predicate | originalBroadcastCountryOfWork |
P9038
|
FINISHED |
| Object | United States |
E14
|
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: United States | Statement: [Officer Andy Renko, originalBroadcastCountryOfWork, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadcastCountryOfWork Context triple: [Officer Andy Renko, originalBroadcastCountryOfWork, United States]
-
A.
workCountryOfBroadcast
Indicates the country from which a work (such as a program or broadcast content) is or was broadcast.
-
B.
countryOfBroadcast
chosen
Indicates the country from which a broadcast is transmitted or officially originates.
-
C.
televisionWorkCountry
Indicates the country in which a television-related work (such as a TV show or production) is produced or primarily associated.
-
D.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
- F. None of above.
Provenance (4 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40637b722481908182c0cabf112d94 |
completed | June 27, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.