Triple
T17362076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nita Naldi |
E422091
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Mary Dooley |
—
|
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: Mary Dooley | Statement: [Nita Naldi, birthName, Mary Dooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Dooley Context triple: [Nita Naldi, birthName, Mary Dooley]
-
A.
Mary Dooley
chosen
Mary Dooley, better known by her stage name Nita Naldi, was a prominent American silent film actress famed for her seductive vamp roles in the 1920s.
-
B.
Mary Dooley
Mary Dooley is an individual associated with the use or authorship of works or tools attributed to someone named Dooley.
-
C.
Edna Murphy
Edna Murphy was an American silent film actress active in the 1920s, known for her roles in numerous melodramas and comedies.
-
D.
Grace Mulrooney
Grace Mulrooney was the wife of American film actor and dancer George Raft, known for his gangster roles in 1930s and 1940s Hollywood cinema.
-
E.
Dolly Sharp
Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4d6de88190b816b93ff5778157 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.