Triple
T19718738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPFC |
E473547
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Steve Parish |
—
|
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: Steve Parish | Statement: [CPFC, owner, Steve Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Parish Context triple: [CPFC, owner, Steve Parish]
-
A.
Steve Parish
chosen
Steve Parish is a British businessman best known for leading the consortium that rescued and now owns and runs Premier League club Crystal Palace.
-
B.
Mick Shipman
Mick Shipman is a down-to-earth, good-natured family man and father figure in the British sitcom "Gavin & Stacey."
-
C.
Alan Parrish
Alan Parrish is the adventurous boy-turned-man trapped for decades inside a magical, dangerous board game in the fantasy film "Jumanji."
-
D.
Jack Pendarvis
Jack Pendarvis is an American writer and humorist known for his fiction, essays, and work as a television writer, including contributions to the animated series "Adventure Time."
-
E.
Guy Wilkerson
Guy Wilkerson was an American character actor best known for his roles in Westerns and B-movies during the mid-20th century.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440f9dd88190bd15cf00f739dfb4 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.