Triple
T6577868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Messing |
E157214
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Debra Messing |
E157214
|
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: Debra Messing | Statement: [Debra Messing, name, Debra Messing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Messing Context triple: [Debra Messing, name, Debra Messing]
-
A.
Debra Messing
chosen
Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
-
B.
Christine Baranski
Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
-
C.
Liz Mullally
Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
-
D.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
E.
Cynthia Nixon
Cynthia Nixon is an American actress and activist best known for her role as Miranda Hobbes in 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 (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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae74fd90819091d67eec6381d5e0 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cba5cc708190a8748160a7878b8f |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:54 p.m.