Triple
T21413554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Listen, Darling |
E528238
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Pinkie Wingate
Pinkie Wingate is a character from the 1938 musical film "Listen, Darling," which starred Judy Garland.
|
E1483214
|
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: Pinkie Wingate | Statement: [Listen, Darling, featuresCharacter, Pinkie Wingate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinkie Wingate Context triple: [Listen, Darling, featuresCharacter, Pinkie Wingate]
-
A.
Pinkie Brown
Pinkie Brown is the ruthless teenage gangster protagonist of Graham Greene's novel "Brighton Rock," known for his violent criminality and religious torment.
-
B.
Pinkie Pie
Pinkie Pie is an energetic, fun-loving pink pony from the My Little Pony franchise known for her parties, randomness, and cheerful personality.
-
C.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
-
D.
Pinky
Pinky is a comedic character appearing in the Marx Brothers film "Horse Feathers."
-
E.
Pinky
Pinky is one of the primary ghost antagonists in the Pac-Man video game series, known for its pink color and ambush-style movement pattern.
- 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: Pinkie Wingate Triple: [Listen, Darling, featuresCharacter, Pinkie Wingate]
Generated description
Pinkie Wingate is a character from the 1938 musical film "Listen, Darling," which starred Judy Garland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pinkie Wingate Target entity description: Pinkie Wingate is a character from the 1938 musical film "Listen, Darling," which starred Judy Garland.
-
A.
Pinkie Brown
Pinkie Brown is the ruthless teenage gangster protagonist of Graham Greene's novel "Brighton Rock," known for his violent criminality and religious torment.
-
B.
Pinkie Pie
Pinkie Pie is an energetic, fun-loving pink pony from the My Little Pony franchise known for her parties, randomness, and cheerful personality.
-
C.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
-
D.
Pinky
Pinky is one of the primary ghost antagonists in the Pac-Man video game series, known for its pink color and ambush-style movement pattern.
-
E.
Pinky
Pinky is a comedic character appearing in the Marx Brothers film "Horse Feathers."
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b201ce1481908392c77e5ca40f5f |
completed | April 22, 2026, 11:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c29cc1b08190836cc0c0723564ae |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c34f94108190bc5a5814c40c3550 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3d49b8c8190b5a138cb0530ca70 |
completed | May 17, 2026, 1:34 p.m. |
Created at: April 16, 2026, 5:44 p.m.