Triple
T12090276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Badlands |
E287922
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Sunny
Sunny is the highly skilled, conflicted warrior and former clipper who serves as the central protagonist in the post-apocalyptic martial arts series "Into the Badlands."
|
E962521
|
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: Sunny | Statement: [Into the Badlands, mainCharacter, Sunny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunny Context triple: [Into the Badlands, mainCharacter, Sunny]
-
A.
Sunny
Sunny is one of the Obama family’s pet dogs, a female Portuguese Water Dog who lived with them in the White House.
-
B.
Sunny
"Sunny" is a 1925 Broadway musical comedy with music by Jerome Kern that became one of his popular stage successes of the era.
-
C.
Sunny
Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
-
D.
Sunny
Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
-
E.
Sunny
Sunny is a child prodigy and skilled hacker in the Metal Gear Solid series, known as the adopted daughter of Otacon and the biological daughter of Olga Gurlukovich.
- 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: Sunny Triple: [Into the Badlands, mainCharacter, Sunny]
Generated description
Sunny is the highly skilled, conflicted warrior and former clipper who serves as the central protagonist in the post-apocalyptic martial arts series "Into the Badlands."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunny Target entity description: Sunny is the highly skilled, conflicted warrior and former clipper who serves as the central protagonist in the post-apocalyptic martial arts series "Into the Badlands."
-
A.
Sunny
Sunny is one of the Obama family’s pet dogs, a female Portuguese Water Dog who lived with them in the White House.
-
B.
Sunny
"Sunny" is a 1925 Broadway musical comedy with music by Jerome Kern that became one of his popular stage successes of the era.
-
C.
Sunny
Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
-
D.
Sunny
Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
-
E.
Sunny
Sunny is a child prodigy and skilled hacker in the Metal Gear Solid series, known as the adopted daughter of Otacon and the biological daughter of Olga Gurlukovich.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915161f848190a6355c1e372eadaa |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66b2eb48190bae469d1dd82b119 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fd79da748190b3f0dd7d7a46314d |
completed | May 2, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeeeb2081908191b1c2d1c2fbfd |
completed | May 2, 2026, 1:41 p.m. |
Created at: April 8, 2026, 9:48 p.m.