Triple
T16386993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minka Kelly |
E397948
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Minka Kelly |
E397948
|
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: Minka Kelly | Statement: [Minka Kelly, name, Minka Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minka Kelly Context triple: [Minka Kelly, name, Minka Kelly]
-
A.
Minka Kelly
chosen
Minka Kelly is an American actress known for her roles in television series such as "Friday Night Lights" and "Parenthood," as well as films including "The Roommate" and "The Butler."
-
B.
Loni Kaye Anderson
Loni Kaye Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
-
C.
Kristy McNichol
Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
-
D.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
E.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014134601c81909f7f4a95d558e067 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:08 a.m.