Triple
T4861352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Handmaid's Tale (1990 film) |
E108665
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Cynthia Nixon |
E166995
|
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: Cynthia Nixon | Statement: [The Handmaid's Tale (1990 film), castMember, Cynthia Nixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Nixon Context triple: [The Handmaid's Tale (1990 film), castMember, Cynthia Nixon]
-
A.
Cynthia Nixon
chosen
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.
-
B.
Kim Cattrall
Kim Cattrall is a British-Canadian actress best known for her role as Samantha Jones in the television series "Sex and the City."
-
C.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
D.
Debra Messing
Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
-
E.
Mary-Louise Parker
Mary-Louise Parker is an American actress best known for her roles in the television series "Weeds" and numerous acclaimed film and stage performances.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5f62b48190b367ed1b850cfbcb |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6faf39d4819091f76ce321c7e82a |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:26 p.m.