Triple
T20194525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Shock |
E493046
|
entity |
| Predicate | learnedByLevelUp |
P110076
|
FINISHED |
| Object |
Chinchou
Chinchou is a dual-type Water/Electric Pokémon resembling an anglerfish, known for using the glowing antennae on its head to emit light and electric attacks.
|
E1416419
|
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: Chinchou | Statement: [Thunder Shock, learnedByLevelUp, Chinchou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinchou Context triple: [Thunder Shock, learnedByLevelUp, Chinchou]
-
A.
Pichi
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
-
B.
Jirachi
Jirachi is a Mythical Steel/Psychic-type Pokémon known for awakening once every thousand years to grant wishes.
-
C.
Pichichi
Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
-
D.
Chim
Chim was the professional name of David Seymour, a renowned Polish-born photojournalist and co-founder of the Magnum Photos agency.
-
E.
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.
- 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: Chinchou Triple: [Thunder Shock, learnedByLevelUp, Chinchou]
Generated description
Chinchou is a dual-type Water/Electric Pokémon resembling an anglerfish, known for using the glowing antennae on its head to emit light and electric attacks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chinchou Target entity description: Chinchou is a dual-type Water/Electric Pokémon resembling an anglerfish, known for using the glowing antennae on its head to emit light and electric attacks.
-
A.
Pichi
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
-
B.
Jirachi
Jirachi is a Mythical Steel/Psychic-type Pokémon known for awakening once every thousand years to grant wishes.
-
C.
Pichichi
Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
-
D.
Chim
Chim was the professional name of David Seymour, a renowned Polish-born photojournalist and co-founder of the Magnum Photos agency.
-
E.
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.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c885e788190888c76b925f290e0 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d20eb908190b82d668beed3789b |
completed | May 16, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e49d5988190b41e8ce5bcebeca5 |
completed | May 16, 2026, 9:52 a.m. |
Created at: April 11, 2026, 11:37 p.m.