Triple
T1496007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nye County |
E29687
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Beatty |
E125974
|
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: Beatty | Statement: [Nye County, contains, Beatty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatty Context triple: [Nye County, contains, Beatty]
-
A.
Beatty
chosen
Beatty is a surname most famously associated with American actor, director, and producer Warren Beatty.
-
B.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
-
C.
Bedell
Bedell is the distinctive middle name of Walter Bedell Smith, a prominent U.S. Army general and diplomat who served as Dwight D. Eisenhower’s chief of staff during World War II and later as Director of Central Intelligence.
-
D.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
-
E.
Butler
Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ec70c48190a94f6e1002848eae |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cadb50481908788b5710f6012db |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.