Triple
T10908859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mullally |
E257639
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kate Mullally
Kate Mullally is a person notable enough to be specifically cited as a bearer of the surname Mullally.
|
E905335
|
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: Kate Mullally | Statement: [Mullally, hasNotableBearer, Kate Mullally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Mullally Context triple: [Mullally, hasNotableBearer, Kate 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.
Rachel Messerer
Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
-
C.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
-
D.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
E.
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."
- 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: Kate Mullally Triple: [Mullally, hasNotableBearer, Kate Mullally]
Generated description
Kate Mullally is a person notable enough to be specifically cited as a bearer of the surname Mullally.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Mullally Target entity description: Kate Mullally is a person notable enough to be specifically cited as a bearer of the surname 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.
Rachel Messerer
Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
-
C.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
-
D.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
E.
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."
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d4ab9bc81908a2522d1334390fc |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42f3dd02c8190b40bc692c24b2ff4 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4375eaf448190a17f8df1e83145e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:22 p.m.