Triple
T21271432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evelyn McGee-Colbert |
E524266
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Evelyn McGee-Colbert |
—
|
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: Evelyn McGee-Colbert | Statement: [Evelyn McGee-Colbert, name, Evelyn McGee-Colbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evelyn McGee-Colbert Context triple: [Evelyn McGee-Colbert, name, Evelyn McGee-Colbert]
-
A.
Evelyn McGee-Colbert
chosen
Evelyn McGee-Colbert is an American actress and producer best known as the longtime wife of comedian and television host Stephen Colbert.
-
B.
Evelyn Patrick
Evelyn Patrick was the wife of American comedian and actor Phil Silvers, known for his role as Sergeant Bilko.
-
C.
Evelyn O'Connell
Evelyn O'Connell is a courageous and intelligent adventurer and Egyptologist in The Mummy film series, known for battling ancient supernatural threats alongside her husband Rick O'Connell.
-
D.
Joan McGee
Joan McGee is an actress known for appearing in the 1990s British television series "Career Girls."
-
E.
Evelyn O'Neill
Evelyn O'Neill is a film producer best known for her work on acclaimed independent movies such as the coming-of-age drama "Lady Bird."
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736534c348190a8d29e8d724dd40a |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.