Triple
T20241701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Replacement Killers |
E498311
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Meg Coburn |
—
|
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: Meg Coburn | Statement: [The Replacement Killers, character, Meg Coburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg Coburn Context triple: [The Replacement Killers, character, Meg Coburn]
-
A.
Connie Snyder
Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
-
B.
Nicole Bilderback
chosen
Nicole Bilderback is an American actress best known for her roles in teen-oriented films and television series, including the TV adaptation of "Clueless."
-
C.
Llaura McGee
Llaura McGee is a film director best known for her work on the project "If Found...".
-
D.
Nancy Covey
Nancy Covey is an American music producer and tour manager known for organizing folk and world music events and for her long association with British singer-songwriter Richard Thompson.
-
E.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716eabf48190ae4e760f472114bd |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.