Triple
T3372060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Rooney |
E70976
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Nellie W. Carter |
E40931
|
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: Nellie W. Carter | Statement: [Mickey Rooney, parent, Nellie W. Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nellie W. Carter Context triple: [Mickey Rooney, parent, Nellie W. Carter]
-
A.
Nellie W. Carter
chosen
Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
-
B.
Nancy Louise Macon
Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
-
C.
Dixie Lee
Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
-
D.
Ettie R. Garner
Ettie R. Garner was the wife of John Nance Garner, the 32nd vice president of the United States, and served as his political partner and supporter throughout his long career in public office.
-
E.
Marion Nelson
Marion Nelson is a screenwriter known for writing the screenplay for the film "Tracks."
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bc9bc881908b22edd631a1c110 |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdc9089481909e9ef5f5e7edeaa6 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:13 p.m.