Triple
T23174429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Mindy Chokalingam |
E578955
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mindy |
—
|
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: Mindy | Statement: [Vera Mindy Chokalingam, givenName, Mindy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindy Context triple: [Vera Mindy Chokalingam, givenName, Mindy]
-
A.
Mindy
chosen
Mindy is a feminine given name most notably associated with American actress Mindy Cohn, known for her role on the TV series "The Facts of Life."
-
B.
Mindy
Mindy is a recurring character from the animated series "Animaniacs," known as a curious and talkative little girl who often gets into trouble, prompting her dog Buttons to rescue her.
-
C.
Mindy Sterling
Mindy Sterling is an American actress and comedian best known for her role as the villainous Frau Farbissina in the Austin Powers film series.
-
D.
June Mindy
June Mindy is a fictional character in the film "Don't Look Up," portrayed as the wife of astronomer Dr. Randall Mindy.
-
E.
Mindy Schultheis
Mindy Schultheis is a television producer known for her work on various comedy series, including serving as an executive producer on "The President Show."
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f69cb1881909e0f47d3b32e2cb1 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.