Triple
T21526027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Hawaii |
E531098
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object | Josh Green |
—
|
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: Josh Green | Statement: [Governor of Hawaii, officeHolder, Josh Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Green Context triple: [Governor of Hawaii, officeHolder, Josh Green]
-
A.
Josh Green
chosen
Josh Green is an American physician and politician serving as the governor of Hawaii.
-
B.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
C.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
D.
Jake Green
Jake Green is the troubled professional gambler and ex-con protagonist of Guy Ritchie's 2005 crime thriller film "Revolver."
-
E.
Benjamin Green
Benjamin Green was a 19th-century British architect best known for designing prominent public monuments and buildings in northern England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88515874819085e251c0d297a587 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.