Triple
T9452096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Ken Park |
E227917
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Park |
E794891
|
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: Park | Statement: [Dr. Ken Park, familyName, Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Context triple: [Dr. Ken Park, familyName, Park]
-
A.
Park
chosen
Park is a common surname of Scottish origin borne by various notable individuals, including figures in early professional golf.
-
B.
Home Park
Home Park is a historic royal deer park and landscaped estate surrounding Windsor Castle in Berkshire, England.
-
C.
Home Park
Home Park is a football stadium in Plymouth, England, best known as the long-time home ground of Plymouth Argyle F.C.
-
D.
Regions Park
Regions Park is a multi-purpose baseball stadium in Hoover, Alabama, best known as the longtime home of the SEC Baseball Tournament and former home of the Birmingham Barons.
-
E.
Park Overall
Park Overall is an American actress best known for her sharp-tongued, comedic supporting roles in film and television, particularly in 1990s sitcoms.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f68f9b081908bee041d4fc77e57 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12272a2dc8190892a22db0799b6a4 |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:52 p.m.