Triple
T4175020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Offerman |
E86454
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Megan Mullally
Megan Mullally is an American actress, comedian, and singer best known for her Emmy-winning role as Karen Walker on the television sitcom "Will & Grace."
|
E418679
|
NE FINISHED |
How this triple was built (4 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: Megan Mullally | Statement: [Nick Offerman, spouse, Megan Mullally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Mullally Context triple: [Nick Offerman, spouse, Megan Mullally]
-
A.
Liz Mullally
Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
-
B.
Kristin Davis
Kristin Davis is an American actress best known for her role as Charlotte York on the television series "Sex and the City" and its related films.
-
C.
Peri Gilpin
Peri Gilpin is an American actress best known for playing radio producer Roz Doyle on the long-running sitcom "Frasier."
-
D.
Julie Bowen
Julie Bowen is an American actress best known for her Emmy-winning role as Claire Dunphy on the television sitcom "Modern Family."
-
E.
Christina Applegate
Christina Applegate is an American actress and comedian known for her roles in the sitcom "Married... with Children" and numerous film and television comedies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Megan Mullally Triple: [Nick Offerman, spouse, Megan Mullally]
Generated description
Megan Mullally is an American actress, comedian, and singer best known for her Emmy-winning role as Karen Walker on the television sitcom "Will & Grace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Mullally Target entity description: Megan Mullally is an American actress, comedian, and singer best known for her Emmy-winning role as Karen Walker on the television sitcom "Will & Grace."
-
A.
Liz Mullally
Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
-
B.
Kristin Davis
Kristin Davis is an American actress best known for her role as Charlotte York on the television series "Sex and the City" and its related films.
-
C.
Peri Gilpin
Peri Gilpin is an American actress best known for playing radio producer Roz Doyle on the long-running sitcom "Frasier."
-
D.
Julie Bowen
Julie Bowen is an American actress best known for her Emmy-winning role as Claire Dunphy on the television sitcom "Modern Family."
-
E.
Christina Applegate
Christina Applegate is an American actress and comedian known for her roles in the sitcom "Married... with Children" and numerous film and television comedies.
- F. None of above. chosen
Provenance (5 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e9370481908eda048724261c2b |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f564c9c8190bfc321c8ec2dac14 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b58330b1d48190a3af96d3c0e7aa1b |
completed | March 14, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b583ba1fd8819092b7fe73a17dc406 |
completed | March 14, 2026, 3:50 p.m. |
Created at: March 9, 2026, 3:45 p.m.