Triple
T5321568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women (1939 film) |
E121684
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Mary Boland
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
|
E512223
|
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 Boland | Statement: [The Women (1939 film), starred, Mary Boland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Boland Context triple: [The Women (1939 film), starred, Mary Boland]
-
A.
Mary Cleary
Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
-
B.
Mary Fitzgerald
Mary Fitzgerald is the daughter of Mary Josephine Hannon Fitzgerald, placing her in the prominent Fitzgerald family associated with early 20th-century Boston politics.
-
C.
Katherine Parnell
Katherine Parnell was a 19th-century Irishwoman best known as the sister of British Army officer and Victoria Cross recipient Sir Evelyn Wood.
-
D.
Mary Durkan
Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
-
E.
Leonora O’Reilly
Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
- 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 Boland Triple: [The Women (1939 film), starred, Mary Boland]
Generated description
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Boland Target entity description: Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
-
A.
Mary Cleary
Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
-
B.
Mary Fitzgerald
Mary Fitzgerald is the daughter of Mary Josephine Hannon Fitzgerald, placing her in the prominent Fitzgerald family associated with early 20th-century Boston politics.
-
C.
Katherine Parnell
Katherine Parnell was a 19th-century Irishwoman best known as the sister of British Army officer and Victoria Cross recipient Sir Evelyn Wood.
-
D.
Mary Durkan
Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
-
E.
Leonora O’Reilly
Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85761ec48190879210af116ed8b9 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18a4dff48190bce18f0106c7a8e7 |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1a493ddc8190ac5d1889b9d64ec2 |
completed | March 21, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1aa2fbec819088cd8be8505e4697 |
completed | March 21, 2026, 10:24 p.m. |
Created at: March 20, 2026, 1:59 p.m.