Triple
T2850285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Madden |
E63074
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ethan Frome
Ethan Frome is a 1993 American drama film directed by John Madden, adapted from Edith Wharton's novel about a tragic love triangle in a bleak New England setting.
|
E303067
|
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: Ethan Frome | Statement: [John Madden, notableWork, Ethan Frome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Frome Context triple: [John Madden, notableWork, Ethan Frome]
-
A.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
B.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
-
C.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
D.
Shirley
"Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
-
E.
Way Down East
Way Down East is a 1920 silent drama film directed by D. W. Griffith, renowned for its emotional storytelling and groundbreaking ice floe rescue sequence.
- 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: Ethan Frome Triple: [John Madden, notableWork, Ethan Frome]
Generated description
Ethan Frome is a 1993 American drama film directed by John Madden, adapted from Edith Wharton's novel about a tragic love triangle in a bleak New England setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ethan Frome Target entity description: Ethan Frome is a 1993 American drama film directed by John Madden, adapted from Edith Wharton's novel about a tragic love triangle in a bleak New England setting.
-
A.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
B.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
-
C.
Shirley
"Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
-
D.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
E.
Way Down East
Way Down East is a 1920 silent drama film directed by D. W. Griffith, renowned for its emotional storytelling and groundbreaking ice floe rescue sequence.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf437328819098506ec8a3a23e11 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8e23694819089b38a10e1bc2f03 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afea2358b88190a91ef389f5a98cea |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0035854e88190a8750b3291aa41c4 |
completed | March 10, 2026, 11:41 a.m. |
Created at: March 6, 2026, 10:02 p.m.