Triple
T20262932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Yellow |
E498888
|
entity |
| Predicate | protagonistDefaultName |
P118534
|
FINISHED |
| Object |
Red
Red is the iconic silent Pokémon Trainer from the original Pokémon games, often depicted as the player character and a powerful champion in the series.
|
E681770
|
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: Red | Statement: [Pokémon Yellow, protagonistDefaultName, Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Context triple: [Pokémon Yellow, protagonistDefaultName, Red]
-
A.
Red
Red is the famous nickname of Arnold "Red" Auerbach, the legendary Boston Celtics coach and executive known for his pivotal role in building an NBA dynasty.
-
B.
Red
Red is the nickname of William L. "Red" Whittaker, a pioneering American roboticist known for his work in field robotics and autonomous vehicles.
-
C.
Red
Red is one of the main playable heroes in the run-and-gun video game Gunstar Heroes, known for fast-paced combat and cooperative action.
-
D.
Red
Red is a small, unicycle character from Pixar’s early animated short film "Red’s Dream."
-
E.
Red
"Red" is a 2010 action-comedy film about retired black-ops agents forced back into the field, known for its ensemble cast led by Bruce Willis, Helen Mirren, Morgan Freeman, and John Malkovich.
- 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: Red Triple: [Pokémon Yellow, protagonistDefaultName, Red]
Generated description
Red is the iconic silent Pokémon Trainer from the original Pokémon games, often depicted as the player character and a powerful champion in the series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Target entity description: Red is the iconic silent Pokémon Trainer from the original Pokémon games, often depicted as the player character and a powerful champion in the series.
-
A.
Red
chosen
Red is a major character from the Pokémon franchise, known as the silent, highly skilled Pokémon Trainer who serves as the protagonist of the original games and a legendary opponent in later titles.
-
B.
Red
Red is the short-tempered, red-feathered bird who serves as the central protagonist of the Angry Birds franchise and its film adaptations.
-
C.
Red
Red is a key supporting character in the fast-paced first-person action game Neon White, known for her mysterious demeanor and complex relationship with the protagonist.
-
D.
Red
Red is one of the main playable heroes in the run-and-gun video game Gunstar Heroes, known for fast-paced combat and cooperative action.
-
E.
Red
Red is a small, unicycle character from Pixar’s early animated short film "Red’s Dream."
- F. None of above.
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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0855311d4c8190bab2119e20359ae9 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855c6bab08190831cc78647de84fc |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856e66c808190b5ef994f1cbc5f3e |
completed | May 16, 2026, 11:37 a.m. |
Created at: April 11, 2026, 11:41 p.m.