Triple
T5535555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin Davis |
E145152
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kristin Davis |
E145152
|
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: Kristin Davis | Statement: [Kristin Davis, name, Kristin Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristin Davis Context triple: [Kristin Davis, name, Kristin Davis]
-
A.
Kristin Davis
chosen
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.
-
B.
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."
-
C.
Angela Dowding
Angela Dowding was a British actress and model who became a member of the extended royal family through her marriage to The Hon. Gerald Lascelles, a cousin of Queen Elizabeth II.
-
D.
Liz Mullally
Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
-
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.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01faed1d08190b6a57faedaf1b56a |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02810084c81909fde56d6ee4ad328 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:34 p.m.