Triple
T17885449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakotaverse |
E447187
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Donner
Donner is a superhero character from DC Comics' Dakotaverse (Milestone) imprint, typically depicted with metahuman abilities and appearing in stories set in the shared Dakota City universe.
|
E1294327
|
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: Donner | Statement: [Dakotaverse, featuresCharacter, Donner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donner Context triple: [Dakotaverse, featuresCharacter, Donner]
-
A.
Donner
Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
-
B.
Karluk
Karluk refers to a historical branch of the Turkic peoples and their language group, influential in Central Asia during the early medieval period.
-
C.
Chisum
Chisum is a 1970 Western film starring John Wayne that dramatizes the Lincoln County War in New Mexico.
-
D.
Toussant
Toussant is the surname of Michel'le, the American R&B singer known for her distinctive high speaking voice and powerful singing.
-
E.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
- 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: Donner Triple: [Dakotaverse, featuresCharacter, Donner]
Generated description
Donner is a superhero character from DC Comics' Dakotaverse (Milestone) imprint, typically depicted with metahuman abilities and appearing in stories set in the shared Dakota City universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donner Target entity description: Donner is a superhero character from DC Comics' Dakotaverse (Milestone) imprint, typically depicted with metahuman abilities and appearing in stories set in the shared Dakota City universe.
-
A.
Donner
Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
-
B.
Karluk
Karluk refers to a historical branch of the Turkic peoples and their language group, influential in Central Asia during the early medieval period.
-
C.
Chisum
Chisum is a 1970 Western film starring John Wayne that dramatizes the Lincoln County War in New Mexico.
-
D.
Toussant
Toussant is the surname of Michel'le, the American R&B singer known for her distinctive high speaking voice and powerful singing.
-
E.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c123748819091bf46178105079b |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d994208190a6023cd9ba0602db |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a0314a4fa748190a63ecda792b7669a |
completed | May 12, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0315a8d6e88190b6d532f22dd8088c |
completed | May 12, 2026, 11:57 a.m. |
Created at: April 10, 2026, 10:18 a.m.