Triple
T16097643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Joe Brown |
E390527
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Joe Brown |
E1194525
|
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: Joe Brown | Statement: [Judge Joe Brown, executiveProducer, Joe Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Brown Context triple: [Judge Joe Brown, executiveProducer, Joe Brown]
-
A.
Joe Brown
chosen
Joe Brown is an American television personality and former criminal court judge best known for presiding over the syndicated arbitration-based reality court show "Judge Joe Brown."
-
B.
Joe Brown
Joe Brown was a renowned British mountaineer celebrated for pioneering ascents in the mid-20th century and for helping usher in the era of modern rock climbing.
-
C.
Joe Brown
Joe Brown is a fictional character played by British actor Lennie James, known for his intense and emotionally complex performances.
-
D.
Harry Brown
Harry Brown was an American screenwriter and novelist best known for his work on war-themed films and literature in the mid-20th century.
-
E.
Mr. Brown
Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79a96d08190af69cbb18037f66e |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:59 a.m.