Triple
T22430274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patti Blagojevich |
E554478
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Richard Mell |
—
|
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: Richard Mell | Statement: [Patti Blagojevich, father, Richard Mell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Mell Context triple: [Patti Blagojevich, father, Richard Mell]
-
A.
Richard Mell
chosen
Richard Mell is a longtime Chicago alderman and influential Democratic political figure known for his role in the city’s political machine and as the father-in-law of former Illinois governor Rod Blagojevich.
-
B.
Michael Jameson
Michael Jameson is the husband of Mireille Duval Jameson, known primarily in relation to her.
-
C.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
D.
Rob Morton
Rob Morton is a pseudonym used by American screenwriter Nancy Dowd, known for works such as the film "Slap Shot."
-
E.
Michael Elwyn
Michael Elwyn is a Welsh actor known for his extensive work in British television, film, and theatre.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.