Triple
T9452118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Ken Park |
E227917
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Dave Park |
E801278
|
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: Dave Park | Statement: [Dr. Ken Park, hasChild, Dave Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Park Context triple: [Dr. Ken Park, hasChild, Dave Park]
-
A.
Dave Park
chosen
Dave Park is a central character on the sitcom "Dr. Ken," portrayed as the quirky and intelligent son in the Park family.
-
B.
Dave Sabo
Dave Sabo is an American guitarist best known as a founding member and lead guitarist of the hard rock band Skid Row.
-
C.
Mike Seaver
Mike Seaver is the mischievous yet good-hearted teenage son and central figure in the 1980s American sitcom "Growing Pains."
-
D.
Bart Andrus
Bart Andrus is an American football coach best known for his work in NFL Europe and various professional and collegiate coaching roles.
-
E.
Lance Schulters
Lance Schulters is a former NFL safety best known for his Pro Bowl tenure with the San Francisco 49ers and later stints with the Tennessee Titans and Miami Dolphins.
- 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_69d12cdd08c08190b9a140e2634c4cf9 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:52 p.m.