Triple
T19575298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edna Mae McCauley |
E489838
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | Edna Mae McCauley |
—
|
NE NERFINISHED |
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: Edna Mae McCauley | Statement: [Edna Mae McCauley, hasFullName, Edna Mae McCauley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edna Mae McCauley Context triple: [Edna Mae McCauley, hasFullName, Edna Mae McCauley]
-
A.
Edna Mae McCauley
chosen
Edna Mae McCauley is the central character in the 1980 drama film "Resurrection," a woman who miraculously survives a near-fatal accident and discovers she has the power to heal others.
-
B.
Edna Louise Johnson
Edna Louise Johnson was the wife of American lawyer and political activist Dudley Field Malone.
-
C.
Della Smith
Della Smith is a character in the political thriller film "State of Play," where she works as a journalist alongside Cal McCaffrey.
-
D.
Otelia Cox
Otelia Cox is the wife of American actor Tony Cox, known for his roles in films such as "Bad Santa" and "Me, Myself & Irene."
-
E.
Beulah Brown
Beulah Brown is the central housekeeper character from the mid-20th-century American radio and television comedy series "Beulah."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.