Triple
T6135339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airplane! |
E136818
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Elaine Dickinson
Elaine Dickinson is a flight attendant and one of the central comedic protagonists in the parody disaster film "Airplane!"
|
E691709
|
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: Elaine Dickinson | Statement: [Airplane!, mainCharacter, Elaine Dickinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Dickinson Context triple: [Airplane!, mainCharacter, Elaine Dickinson]
-
A.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
B.
Elaine Robinson
Elaine Robinson is the young woman in the film "The Graduate" who becomes the romantic focus of Benjamin Braddock and the daughter of his older lover, Mrs. Robinson.
-
C.
Dorothy Harvey
Dorothy Harvey was the first wife of acclaimed American film director and screenwriter John Huston.
-
D.
Ellen Lacey
Ellen Lacey is a fictional character from the 1954 film noir "Crime Wave," involved in the story’s tense criminal underworld and police investigation.
-
E.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
- 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: Elaine Dickinson Triple: [Airplane!, mainCharacter, Elaine Dickinson]
Generated description
Elaine Dickinson is a flight attendant and one of the central comedic protagonists in the parody disaster film "Airplane!"
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elaine Dickinson Target entity description: Elaine Dickinson is a flight attendant and one of the central comedic protagonists in the parody disaster film "Airplane!"
-
A.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
B.
Elaine Robinson
Elaine Robinson is the young woman in the film "The Graduate" who becomes the romantic focus of Benjamin Braddock and the daughter of his older lover, Mrs. Robinson.
-
C.
Dorothy Harvey
Dorothy Harvey was the first wife of acclaimed American film director and screenwriter John Huston.
-
D.
Ellen Lacey
Ellen Lacey is a fictional character from the 1954 film noir "Crime Wave," involved in the story’s tense criminal underworld and police investigation.
-
E.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c80a6088190a028967b682fed2b |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9a53a44e48190bddf0f4faec136e7 |
completed | March 29, 2026, 10:18 p.m. |
| NEDg | Description generation | batch_69c9a665ccc081909564e4c83dbd303c |
completed | March 29, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9a6b366348190b72f896243c70c38 |
completed | March 29, 2026, 10:24 p.m. |
Created at: March 22, 2026, 4:15 p.m.