Triple
T3403013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aminé |
E71698
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object |
Charmander
"Charmander" is a popular 2016 hip-hop single by American rapper Aminé, known for its playful energy and catchy, melodic flow.
|
E356166
|
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: Charmander | Statement: [Aminé, notableSingle, Charmander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charmander Context triple: [Aminé, notableSingle, Charmander]
-
A.
Pikachu
Pikachu is an iconic Electric-type Pokémon and the franchise mascot, widely recognized as one of the most famous characters in video game and anime history.
-
B.
Abra
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
C.
Pichu Pichu
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
-
D.
Abra Stone
Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
-
E.
Thwomp
Thwomp is a large, stone, spike-covered block-like enemy in the Super Mario series that tries to crush the player by slamming down from above.
- 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: Charmander Triple: [Aminé, notableSingle, Charmander]
Generated description
"Charmander" is a popular 2016 hip-hop single by American rapper Aminé, known for its playful energy and catchy, melodic flow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charmander Target entity description: "Charmander" is a popular 2016 hip-hop single by American rapper Aminé, known for its playful energy and catchy, melodic flow.
-
A.
Pikachu
Pikachu is an iconic Electric-type Pokémon and the franchise mascot, widely recognized as one of the most famous characters in video game and anime history.
-
B.
Abra
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
C.
Pichu Pichu
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
-
D.
Abra Stone
Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
-
E.
Thwomp
Thwomp is a large, stone, spike-covered block-like enemy in the Super Mario series that tries to crush the player by slamming down from above.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e78ec8819089417666dc29f412 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd4d02881909c365e054148ae8c |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4792608190b74e02e065d4bc68 |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3525f44948190af72b177193edca4 |
completed | March 12, 2026, 11:55 p.m. |
Created at: March 8, 2026, 3:14 p.m.