Triple
T22980417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jane "Jeanne" Taylor |
E571443
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Jeanne Taylor |
—
|
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: Jeanne Taylor | Statement: [Mary Jane "Jeanne" Taylor, nickname, Jeanne Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanne Taylor Context triple: [Mary Jane "Jeanne" Taylor, nickname, Jeanne Taylor]
-
A.
Mary Jane "Jeanne" Taylor
chosen
Mary Jane "Jeanne" Taylor was the first wife of American stage and film director Vincente (Lester Anthony) Minnelli.
-
B.
Jeannine Taylor
Jeannine Taylor is an American actress best known for her role as Marcie in the classic 1980 slasher film "Friday the 13th."
-
C.
Jeanne Fort
Jeanne Fort was the wife of Italian Futurist painter Gino Severini and a figure connected to the early 20th-century Parisian art world.
-
D.
Jeanne Campbell
Jeanne Campbell was a British socialite and journalist known for her connections to prominent literary and political figures, including her marriage to American novelist Norman Mailer.
-
E.
Jean Shinglewood Taylor
Jean Shinglewood Taylor was the wife of Nobel Prize–winning biologist and immunologist Sir Peter Medawar.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18294c4c8819083ef85d9cb736613 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.