Triple
T19358984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart to Hart |
E484225
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Stefanie Powers |
—
|
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: Stefanie Powers | Statement: [Hart to Hart, starring, Stefanie Powers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefanie Powers Context triple: [Hart to Hart, starring, Stefanie Powers]
-
A.
Stefanie Powers
chosen
Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
-
B.
Lindsay Wagner
Lindsay Wagner is an American actress best known for her Emmy-winning role as Jaime Sommers in the television series "The Bionic Woman."
-
C.
Cheryl Ladd
Cheryl Ladd is
-
D.
Holly Palance
Holly Palance is an American actress and journalist, known for her roles in films like "The Omen" and for being the daughter of actor Jack Palance.
-
E.
Darla Hawn
Darla Hawn is a musician best known for her collaborations with contemporary instrumental and new-age artist Barbara Higbie.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190b343c81909734ba776fd196dc |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.