Triple
T11718840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Westphal |
E278573
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Paul Douglas Westphal |
E278573
|
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: Paul Douglas Westphal | Statement: [Paul Westphal, fullName, Paul Douglas Westphal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Douglas Westphal Context triple: [Paul Westphal, fullName, Paul Douglas Westphal]
-
A.
Paul Westphal
chosen
Paul Westphal was an American Hall of Fame basketball player and coach best known as an All-Star guard for the Phoenix Suns in the 1970s.
-
B.
Roy Tarpley
Roy Tarpley was an American professional basketball player, best known as a talented but troubled Dallas Mavericks big man whose NBA career was derailed by substance abuse issues.
-
C.
Kevin Willard
Kevin Willard is an American college basketball coach best known for leading the University of Maryland men's basketball program after a successful tenure at Seton Hall.
-
D.
Roy Hurley
Roy Hurley was an American professional basketball player who competed in the Basketball Association of America during the 1940s.
-
E.
Freddie Thorp
Freddie Thorp is a British actor best known for his roles in action films and the Netflix fantasy series "Fate: The Winx Saga."
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c26e4c8190ae30d906b4fd4221 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0197d03c08190a5515ffe3cc887ea |
completed | April 28, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:40 p.m.