Triple
T33896100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall Brown |
E868913
|
entity |
| Predicate | firstBroadcastCountryOfWork |
P103656
|
FINISHED |
| Object | United Kingdom |
E732
|
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 Kingdom | Statement: [Randall Brown, firstBroadcastCountryOfWork, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastCountryOfWork Context triple: [Randall Brown, firstBroadcastCountryOfWork, United Kingdom]
-
A.
firstBroadcastInCountry
chosen
Indicates that a work (such as a program or broadcast) was first aired or transmitted in a specified country.
-
B.
firstBroadcastBy
Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
-
C.
firstBroadcastFor
Indicates that one entity is the initial or earliest broadcast instance associated with another entity (such as a program, episode, or event).
-
D.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
E.
firstPerformanceOfWorkCountry
Indicates the country in which a particular work was first performed.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a368220093c8190becda8f07b9c4cd6 |
completed | June 20, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:48 a.m.