Triple
T1805975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behind the Candelabra |
E40219
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Mary Ann Bernard
Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
|
E285665
|
NE FINISHED |
How this triple was built (4 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 Ann Bernard | Statement: [Behind the Candelabra, editor, Mary Ann Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ann Bernard Context triple: [Behind the Candelabra, editor, Mary Ann Bernard]
-
A.
Mary Ann Bertles
Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
-
B.
Mary Ann Holmes
Mary Ann Holmes was the mother of renowned 19th-century American actor Edwin Booth and the wife of Shakespearean tragedian Junius Brutus Booth.
-
C.
Mary Anne Grindall
Mary Anne Grindall was the wife of British civil servant, political reformer, and ornithologist Allan Octavian Hume.
-
D.
Mary Easty
Mary Easty was a respected Salem, Massachusetts woman who was falsely accused of witchcraft and executed during the 1692 Salem witch trials, later remembered for her dignified plea for justice.
-
E.
Mary Elizabeth Ellis
Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary Ann Bernard Triple: [Behind the Candelabra, editor, Mary Ann Bernard]
Generated description
Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Ann Bernard Target entity description: Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
-
A.
Mary Ann Bertles
Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
-
B.
Mary Ann Holmes
Mary Ann Holmes was the mother of renowned 19th-century American actor Edwin Booth and the wife of Shakespearean tragedian Junius Brutus Booth.
-
C.
Mary Anne Grindall
Mary Anne Grindall was the wife of British civil servant, political reformer, and ornithologist Allan Octavian Hume.
-
D.
Mary Easty
Mary Easty was a respected Salem, Massachusetts woman who was falsely accused of witchcraft and executed during the 1692 Salem witch trials, later remembered for her dignified plea for justice.
-
E.
Mary Elizabeth Ellis
Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
- F. None of above. chosen
Provenance (5 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659798b88190bd3070349ce6bebb |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af989789308190bb124c2c1706b68c |
completed | March 10, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69af99416924819099d4acb1a2d60e0c |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99adadb08190a44f2286b25bf0aa |
completed | March 10, 2026, 4:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.