Triple
T20298118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuns on the Run |
E505405
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Lila Kaye
Lila Kaye was a British character actress known for her comic and maternal roles in film, television, and theatre.
|
E1430411
|
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: Lila Kaye | Statement: [Nuns on the Run, hasCastMember, Lila Kaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lila Kaye Context triple: [Nuns on the Run, hasCastMember, Lila Kaye]
-
A.
Lila Ash
Lila Ash is an American cartoonist and illustrator known for her candid, autobiographical comics exploring themes of sexuality, trauma, and identity.
-
B.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
C.
Lila Leeds
Lila Leeds was an American film actress of the 1940s best known for her roles in crime dramas and for a highly publicized 1948 marijuana arrest that derailed her Hollywood career.
-
D.
Lila Garrett
Lila Garrett was an American television producer, screenwriter, and political activist known for her work on socially conscious TV projects and her outspoken progressive views.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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: Lila Kaye Triple: [Nuns on the Run, hasCastMember, Lila Kaye]
Generated description
Lila Kaye was a British character actress known for her comic and maternal roles in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lila Kaye Target entity description: Lila Kaye was a British character actress known for her comic and maternal roles in film, television, and theatre.
-
A.
Lila Ash
Lila Ash is an American cartoonist and illustrator known for her candid, autobiographical comics exploring themes of sexuality, trauma, and identity.
-
B.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
C.
Lila Leeds
Lila Leeds was an American film actress of the 1940s best known for her roles in crime dramas and for a highly publicized 1948 marijuana arrest that derailed her Hollywood career.
-
D.
Lila Garrett
Lila Garrett was an American television producer, screenwriter, and political activist known for her work on socially conscious TV projects and her outspoken progressive views.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770a2cec8190912d6b0dbabc78bc |
completed | April 20, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883e4a12c8190931e5f3520cb0bdc |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08845fa8c081909ccfdfbf90c3e4ed |
completed | May 16, 2026, 2:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0884d759948190ba5030a5c5a6b0f3 |
completed | May 16, 2026, 2:53 p.m. |
Created at: April 16, 2026, 11:16 a.m.