Triple
T6085272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Penn |
E135621
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Eileen Ryan |
E254657
|
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: Eileen Ryan | Statement: [Michael Penn, mother, Eileen Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eileen Ryan Context triple: [Michael Penn, mother, Eileen Ryan]
-
A.
Eileen Ryan
chosen
Eileen Ryan was an American actress known for her character roles in film and television and as the mother of actor and director Sean Penn.
-
B.
Deirdre Flynn
Deirdre Flynn is the daughter of famed Hollywood swashbuckling actor Errol Flynn.
-
C.
Virginia O'Brien
Virginia O'Brien was an American film actress and singer best known for her deadpan comedic style and musical performances in MGM musicals of the 1940s.
-
D.
Helen O’Connell
Helen O’Connell was a popular American big band singer and entertainer best known for her work with Jimmy Dorsey’s orchestra in the 1940s.
-
E.
Kathy O'Hare
Kathy O'Hare is known primarily as the daughter of famed World War II flying ace and Medal of Honor recipient Edward "Butch" O'Hare.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057891dc88190997c4e32b2261fb3 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d5c743c81908a3454af2caa10a1 |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:12 p.m.