Triple
T1041934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Closer |
E22486
|
entity |
| Predicate | awardRecipient |
P21360
|
FINISHED |
| Object | Kyra Sedgwick |
E141321
|
NE FINISHED |
How this triple was built (3 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: Kyra Sedgwick | Statement: [The Closer, awardRecipient, Kyra Sedgwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyra Sedgwick Context triple: [The Closer, awardRecipient, Kyra Sedgwick]
-
A.
Kyra Sedgwick
chosen
Kyra Sedgwick is an American actress and producer best known for her award-winning lead role as Deputy Chief Brenda Leigh Johnson on the crime drama series "The Closer."
-
B.
Dana Delany
Dana Delany is an American actress best known for her acclaimed work in television dramas such as "China Beach," for which she earned multiple Primetime Emmy Awards.
-
C.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
D.
Nancy Walker
Nancy Walker was an American actress and comedian best known for her sharp-tongued character roles in film, television, and Broadway musicals.
-
E.
Teri Hatcher
Teri Hatcher is an American actress best known for her roles on the television series "Lois & Clark: The New Adventures of Superman" and "Desperate Housewives."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRecipient Context triple: [The Closer, awardRecipient, Kyra Sedgwick]
-
A.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
-
B.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
C.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
awardName
Indicates the specific name or title of an award associated with an entity.
-
E.
awardConferred
chosen
Indicates that an award or honor has been formally granted by one entity to another.
- F. None of above.
Provenance (4 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b845fa8c8190a7b69629883b62e2 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f675824819091de0a83b2a6a0b3 |
completed | March 7, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.