Triple
T19161286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fame (2009 film) |
E469059
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Megan Mullally |
—
|
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: Megan Mullally | Statement: [Fame (2009 film), castMember, Megan Mullally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Mullally Context triple: [Fame (2009 film), castMember, Megan Mullally]
-
A.
Megan Mullally
chosen
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."
-
B.
Liz Mullally
Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
-
C.
Kate Mullally
Kate Mullally is a person notable enough to be specifically cited as a bearer of the surname Mullally.
-
D.
Elizabeth Mitchell
Elizabeth Mitchell is an American actress known for her roles in television series such as "Lost" and "V," as well as films including "The Purge: Election Year."
-
E.
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.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebd093c81909a50f1119e284069 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.