Triple
T5433569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Moon |
E121552
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Trixie Delight
Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
|
E519932
|
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: Trixie Delight | Statement: [Paper Moon, character, Trixie Delight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trixie Delight Context triple: [Paper Moon, character, Trixie Delight]
-
A.
Trixie
Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
-
B.
Kitty Darling
Kitty Darling is a fictional character known for appearing in the stage production "Applause."
-
C.
Winky
Winky is a house-elf from the Harry Potter series, known for her loyalty, tragic fall from grace, and eventual employment at Hogwarts.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Swankie
Swankie is a real-life modern nomad who appears as herself in the film "Nomadland," representing the van-dwelling community.
- 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: Trixie Delight Triple: [Paper Moon, character, Trixie Delight]
Generated description
Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trixie Delight Target entity description: Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
-
A.
Trixie
Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
-
B.
Kitty Darling
Kitty Darling is a fictional character known for appearing in the stage production "Applause."
-
C.
Winky
Winky is a house-elf from the Harry Potter series, known for her loyalty, tragic fall from grace, and eventual employment at Hogwarts.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Swankie
Swankie is a real-life modern nomad who appears as herself in the film "Nomadland," representing the van-dwelling community.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ae18cc8190aefe610f91b5382c |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3accb6748190989257c3b991a760 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3b72f1fc8190a2fbc516cf75abdb |
completed | March 22, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3f44fdd08190bb9ba0e10e4410af |
completed | March 22, 2026, 1 a.m. |
Created at: March 20, 2026, 2:06 p.m.