Triple
T11530326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TX-14 |
E273401
|
entity |
| Predicate | hasRepresentative |
P192
|
FINISHED |
| Object | Randy Weber |
E273399
|
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: Randy Weber | Statement: [TX-14, hasRepresentative, Randy Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Weber Context triple: [TX-14, hasRepresentative, Randy Weber]
-
A.
Randy Weber
chosen
Randy Weber is a Republican politician and U.S. Representative from Texas known for his conservative positions on social and economic issues.
-
B.
Randy Feenstra
Randy Feenstra is a Republican politician and U.S. Representative from Iowa known for his conservative positions on agriculture, fiscal policy, and social issues.
-
C.
Randy Turpin
Randy Turpin was a British middleweight boxing champion best known for his stunning 1951 upset victory over Sugar Ray Robinson.
-
D.
Randy Oglesby
Randy Oglesby is an American character actor known for his numerous television and film roles, particularly in science fiction series such as various Star Trek franchises.
-
E.
Randy Mueller
Randy Mueller is an American football executive known for serving as a general manager for multiple professional teams, including in the NFL and the Alliance of American Football.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839878948190b170e64629d6f2db |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6856341b481909d2ee71893e6117b |
completed | April 20, 2026, 7:58 p.m. |
Created at: April 8, 2026, 9:37 p.m.