Triple
T10752295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Case 39 |
E253598
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lillith Sullivan
Lillith Sullivan is a mysterious young girl with dangerous psychic abilities at the center of the supernatural horror film "Case 39."
|
E885288
|
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: Lillith Sullivan | Statement: [Case 39, mainCharacter, Lillith Sullivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lillith Sullivan Context triple: [Case 39, mainCharacter, Lillith Sullivan]
-
A.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
B.
Lillian Lamont
Lillian Lamont was the first wife of American actor Fred MacMurray, with whom she was married from 1936 until her death in 1953.
-
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.
Eileen Sanger
Eileen Sanger is known as the spouse of Larry Sanger, the co-founder of Wikipedia.
-
E.
Anne Manson
Anne Manson is an American conductor known for her leadership roles with major orchestras and opera companies in the United States and Europe.
- 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: Lillith Sullivan Triple: [Case 39, mainCharacter, Lillith Sullivan]
Generated description
Lillith Sullivan is a mysterious young girl with dangerous psychic abilities at the center of the supernatural horror film "Case 39."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lillith Sullivan Target entity description: Lillith Sullivan is a mysterious young girl with dangerous psychic abilities at the center of the supernatural horror film "Case 39."
-
A.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
B.
Lillian Lamont
Lillian Lamont was the first wife of American actor Fred MacMurray, with whom she was married from 1936 until her death in 1953.
-
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.
Eileen Sanger
Eileen Sanger is known as the spouse of Larry Sanger, the co-founder of Wikipedia.
-
E.
Anne Manson
Anne Manson is an American conductor known for her leadership roles with major orchestras and opera companies in the United States and Europe.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55a12b8c8190bbeeb6d176f42b49 |
completed | April 14, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69de5952f6c48190abd3b87372d54f58 |
completed | April 14, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de5ed49c9c8190a4085407f88d7a05 |
completed | April 14, 2026, 3:35 p.m. |
Created at: April 8, 2026, 9:15 p.m.