Triple
T14154366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Silas |
E350772
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Paul Silas |
E70588
|
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 Silas | Statement: [Stephen Silas, relative, Paul Silas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Silas Context triple: [Stephen Silas, relative, Paul Silas]
-
A.
Paul Silas
chosen
Paul Silas was an American professional basketball player and three-time NBA champion who later became a head coach in the league.
-
B.
Forest Baskett
Forest Baskett is an American computer scientist and venture capitalist known for his influential work in computer architecture and his role as a general partner at New Enterprise Associates (NEA).
-
C.
Mitch Richmond
Mitch Richmond is a Hall of Fame shooting guard best known for his prolific scoring and six consecutive All-Star appearances in the 1990s NBA.
-
D.
David Aldridge
David Aldridge is an American sports journalist and NBA insider known for his long tenure with ESPN, NBA TV, and The Athletic, where he has provided in-depth basketball reporting and analysis.
-
E.
Newt Heisley
Newt Heisley was an American graphic designer and World War II veteran best known for creating the iconic POW/MIA flag honoring U.S. prisoners of war and those missing in action.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ec6448819087e50aac964ec637 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.