Triple
T3051159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hours |
E83573
|
entity |
| Predicate | followsCharacter |
P10688
|
FINISHED |
| Object |
Laura Brown
Laura Brown is a central character in Michael Cunningham’s novel and its film adaptation "The Hours," depicted as a 1950s housewife struggling with depression and the constraints of domestic life.
|
E392058
|
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: Laura Brown | Statement: [The Hours, followsCharacter, Laura Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Brown Context triple: [The Hours, followsCharacter, Laura Brown]
-
A.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
B.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
C.
Mary Barnes
Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
-
D.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
E.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
- 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: Laura Brown Triple: [The Hours, followsCharacter, Laura Brown]
Generated description
Laura Brown is a central character in Michael Cunningham’s novel and its film adaptation "The Hours," depicted as a 1950s housewife struggling with depression and the constraints of domestic life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Brown Target entity description: Laura Brown is a central character in Michael Cunningham’s novel and its film adaptation "The Hours," depicted as a 1950s housewife struggling with depression and the constraints of domestic life.
-
A.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
B.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
C.
Mary Barnes
Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
-
D.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
E.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bb1a46081908547a2f27cbf3446 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503d3f19c819088061d3c68757957 |
completed | March 14, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69b50523dbb08190b1fd089092c1b2a6 |
completed | March 14, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50594e4888190b2db45eee2a988a7 |
completed | March 14, 2026, 6:52 a.m. |
Created at: March 8, 2026, 3:01 p.m.