Triple
T23270006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Price Historical Park |
E588260
|
entity |
| Predicate | significantPerson |
P643
|
FINISHED |
| Object | John Michael Price |
—
|
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: John Michael Price | Statement: [Price Historical Park, significantPerson, John Michael Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Michael Price Context triple: [Price Historical Park, significantPerson, John Michael Price]
-
A.
John Michael Price
chosen
John Michael Price was a historical figure significant enough in his local community or region to have Price Historical Park named in his honor.
-
B.
Michael Price
Michael Price is a British composer best known for his award-winning film and television scores, including work on the series "Sherlock."
-
C.
Michael Price
Michael Price is an American television writer and producer best known for his work on animated comedy series such as The Simpsons and F Is for Family.
-
D.
Michael Price
Michael Price is a songwriter best known for co-writing the soul classic "Ain't No Love in the Heart of the City."
-
E.
Patrick L. Price
Patrick L. Price is an editor best known for his influential work on the science fiction magazine Amazing Stories.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957324bc8190b8b53d4b18386151 |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:45 p.m.