Triple
T21329142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Bancroft |
E525849
|
entity |
| Predicate | hasPseudonym |
P3799
|
FINISHED |
| Object | Anne Marno |
—
|
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: Anne Marno | Statement: [Anne Bancroft, hasPseudonym, Anne Marno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Marno Context triple: [Anne Bancroft, hasPseudonym, Anne Marno]
-
A.
Anne Marno
chosen
Anne Marno is an alternate professional name used by the acclaimed American actress Anne Bancroft, known for her powerful performances on stage and screen.
-
B.
Mary Looram
Mary Looram is an actress known for her role in the film "Like Father."
-
C.
Anne Manson
Anne Manson is an American conductor known for her leadership roles with major orchestras and opera companies in the United States and Europe.
-
D.
Adrienne Marden
Adrienne Marden was an American character actress known for her supporting roles in mid-20th-century film and television.
-
E.
Johanna Jarman
Johanna Jarman is known as the wife of former child actor Claude Jarman Jr., who gained fame for his Academy Award-winning role in the 1946 film "The Yearling."
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4f95fc819087eb32dca7da689a |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.