Triple
T17248149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Mullally |
E418679
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Karen Walker |
E579235
|
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: Karen Walker | Statement: [Megan Mullally, notableRole, Karen Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Walker Context triple: [Megan Mullally, notableRole, Karen Walker]
-
A.
Karen Walker
chosen
Karen Walker is a sharp-tongued, fabulously wealthy socialite and assistant known for her outrageous humor and heavy drinking on the sitcom "Will & Grace."
-
B.
Karen Hood
Karen Hood is the central protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal dramas and emotional developments revolve.
-
C.
Nita Talbot
Nita Talbot is an American actress known for her sharp-witted supporting roles in film and television, including a notable Emmy-nominated performance on the sitcom "Hogan's Heroes."
-
D.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
-
E.
Amy Wren
Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e2569c081908ffd3ee9c76bcc17 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.