Triple
T6091831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Nobbs |
E135782
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Albert Nobbs |
E135782
|
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: Albert Nobbs | Statement: [Albert Nobbs, character, Albert Nobbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Nobbs Context triple: [Albert Nobbs, character, Albert Nobbs]
-
A.
Albert Nobbs
chosen
Albert Nobbs is a 2011 period drama film, starring Glenn Close as a woman living as a man in 19th-century Ireland, that explores themes of gender identity, survival, and social constraint.
-
B.
Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
-
C.
Madame
Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
-
D.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
-
E.
Dolores Gray
Dolores Gray was an American actress and singer known for her powerful voice and performances in mid-20th-century Broadway musicals and Hollywood films.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125365a7481909e40d01c2d3590aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.