Triple
T1053575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheila Hancock |
E22751
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Edie
Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
|
E158487
|
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: Edie | Statement: [Sheila Hancock, notableWork, Edie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edie Context triple: [Sheila Hancock, notableWork, Edie]
-
A.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
B.
Rhoda Williams
Rhoda Williams was an American actress and voice artist best known for her work in mid-20th-century film and radio, including voice roles in classic animated features.
-
C.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
D.
Lina Lamont
Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
-
E.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
- 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: Edie Triple: [Sheila Hancock, notableWork, Edie]
Generated description
Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edie Target entity description: Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
-
A.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
B.
Rhoda Williams
Rhoda Williams was an American actress and voice artist best known for her work in mid-20th-century film and radio, including voice roles in classic animated features.
-
C.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
D.
Lina Lamont
Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
-
E.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd46afef8819089eb286b45a4c866 |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd5fbae488190989873734c669dfa |
completed | March 8, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd663e998819095ad0f3317803722 |
completed | March 8, 2026, 1:52 a.m. |
Created at: March 1, 2026, 7:42 p.m.