Triple
T21659841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Lindsay |
E534564
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Virginia Kies
Virginia Kies is known primarily as the sister of American film actress Margaret Lindsay.
|
E1500367
|
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: Virginia Kies | Statement: [Margaret Lindsay, hasSibling, Virginia Kies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Kies Context triple: [Margaret Lindsay, hasSibling, Virginia Kies]
-
A.
Virginia O’Kane
Virginia O’Kane is a fictional character portrayed by British actress Stephanie Beacham.
-
B.
Virginia Cunningham
Virginia Cunningham is the troubled protagonist of the novel and film "The Snake Pit," whose experiences depict the harsh realities of life inside a mid-20th-century psychiatric institution.
-
C.
Virginia Duigan
Virginia Duigan is an Australian writer and former journalist best known for her novels and short stories, often exploring psychological and social themes.
-
D.
Mary Woodvine
Mary Woodvine is a British actress known for her work in television dramas and films, often appearing in character-driven and crime-related series.
-
E.
Helen Kies
Helen Kies was the sister of American film actress Margaret Lindsay and a member of the same theatrical family background.
- 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: Virginia Kies Triple: [Margaret Lindsay, hasSibling, Virginia Kies]
Generated description
Virginia Kies is known primarily as the sister of American film actress Margaret Lindsay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Virginia Kies Target entity description: Virginia Kies is known primarily as the sister of American film actress Margaret Lindsay.
-
A.
Virginia O’Kane
Virginia O’Kane is a fictional character portrayed by British actress Stephanie Beacham.
-
B.
Virginia Cunningham
Virginia Cunningham is the troubled protagonist of the novel and film "The Snake Pit," whose experiences depict the harsh realities of life inside a mid-20th-century psychiatric institution.
-
C.
Virginia Duigan
Virginia Duigan is an Australian writer and former journalist best known for her novels and short stories, often exploring psychological and social themes.
-
D.
Mary Woodvine
Mary Woodvine is a British actress known for her work in television dramas and films, often appearing in character-driven and crime-related series.
-
E.
Helen Kies
Helen Kies was the sister of American film actress Margaret Lindsay and a member of the same theatrical family background.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c06844c81909b9c91e02fa4e6e1 |
completed | April 27, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a366221f48190bcb79d293330e240 |
completed | May 17, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_6a0a375bce908190b7d1433c4ac500c9 |
completed | May 17, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e2aa048190a8e0bcd3a106a9aa |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:36 p.m.