Triple
T802713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jud Fry |
E17162
|
entity |
| Predicate | threatens |
P1358
|
FINISHED |
| Object | Laurey Williams |
E21510
|
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: Laurey Williams | Statement: [Jud Fry, threatens, Laurey Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurey Williams Context triple: [Jud Fry, threatens, Laurey Williams]
-
A.
Laurey Williams
chosen
Laurey Williams is the spirited young farm girl who serves as the romantic heroine in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
B.
Arvilla Knight
Arvilla Knight was the wife of California Governor Goodwin Knight and served as the state's First Lady during his administration.
-
C.
Rhoda Williams
Rhoda Williams was an American actress and voice artist best known for her work in mid-20th-century film and radio, including voice roles in classic animated features.
-
D.
Bernice Layne Brown
Bernice Layne Brown was the mother of California governor Jerry Brown and a prominent figure in California political and civic life.
-
E.
Leola Brown
Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabd9fc081908ccadd8e8769de2d |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0895e1b48190921b5ba783823f3c |
completed | March 8, 2026, 5:26 a.m. |
Created at: March 1, 2026, 7:38 p.m.