Triple
T10173124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Allen |
E235781
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ethan Frome |
E303067
|
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: Ethan Frome | Statement: [Joan Allen, notableWork, Ethan Frome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Frome Context triple: [Joan Allen, notableWork, Ethan Frome]
-
A.
Ethan Frome
chosen
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.
-
B.
The Country of the Pointed Firs
The Country of the Pointed Firs is an 1896 episodic novel by Sarah Orne Jewett that portrays life in a small coastal Maine village and is considered a classic of American regionalist literature.
-
C.
Shirley
"Shirley" is a rock and roll song by Welsh singer Shakin' Stevens, known as one of his early hits.
-
D.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
E.
Shirley
Shirley is a suburban area within the town of Solihull in the West Midlands, England, known for its residential neighborhoods and local shopping facilities.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.