Triple
T21095686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindy McConnell |
E519759
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object | Jeanie |
—
|
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: Jeanie | Statement: [Mindy McConnell, closeFriend, Jeanie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanie Context triple: [Mindy McConnell, closeFriend, Jeanie]
-
A.
Jeanie
Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
-
B.
Janeane
Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
-
C.
Jeanie Frost
Jeanie Frost is a person known primarily as the sibling of Elliott Frost.
-
D.
Jeanette
Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
-
E.
Jeanette
Jeanette is the given first name of American actress Peggy Moran, known for her roles in 1930s and 1940s Hollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.