Triple
T6377667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 107-243 |
E143504
|
entity |
| Predicate | sponsorInHouse |
P7931
|
FINISHED |
| Object | Richard Armey |
E37936
|
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: Richard Armey | Statement: [Public Law 107-243, sponsorInHouse, Richard Armey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Armey Context triple: [Public Law 107-243, sponsorInHouse, Richard Armey]
-
A.
Richard Armey
chosen
Richard Armey is an American economist and Republican politician who served as House Majority Leader and played a key role in advancing major conservative legislation in the U.S. Congress.
-
B.
Michael Hicks
Michael Hicks is a game designer best known for creating the video game "Cyclone."
-
C.
Chip Roy
Chip Roy is a conservative Republican politician and attorney serving in the U.S. House of Representatives from Texas.
-
D.
Michael Steele
Michael Steele is an American political commentator and former chairman of the Republican National Committee.
-
E.
Don Roberts
Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.