Triple
T10169105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George P. Bush |
E235282
|
entity |
| Predicate | lostTo |
P356
|
FINISHED |
| Object | Ken Paxton |
E670855
|
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: Ken Paxton | Statement: [George P. Bush, lostTo, Ken Paxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Paxton Context triple: [George P. Bush, lostTo, Ken Paxton]
-
A.
Ken Paxton
chosen
Ken Paxton is a Republican politician and lawyer who has served as the Attorney General of Texas, known for his conservative legal stances and involvement in high-profile political and legal controversies.
-
B.
Greg Abbott
Greg Abbott is an American Republican politician and attorney who has served as the 48th governor of Texas since 2015.
-
C.
Ray Walker
Ray Walker is an American bass singer best known for his long tenure with the legendary vocal quartet The Jordanaires, who frequently performed and recorded with Elvis Presley.
-
D.
Michele Hicks
Michele Hicks is an American actress and former fashion model known for her roles in television series such as "The Shield" and various independent films.
-
E.
Tom Chambers
Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9ba56481908b5265aea8ea8cbe |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.