Triple
T20193341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash Ketchum |
E493023
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object |
Clemont
Clemont is an intelligent and inventive Lumiose City Gym Leader in the Pokémon series, known for his gadgets and close companionship with Ash Ketchum during their Kalos journey.
|
E1416296
|
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: Clemont | Statement: [Ash Ketchum, friend, Clemont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clemont Context triple: [Ash Ketchum, friend, Clemont]
-
A.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
B.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
C.
Taillibert
Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
- 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: Clemont Triple: [Ash Ketchum, friend, Clemont]
Generated description
Clemont is an intelligent and inventive Lumiose City Gym Leader in the Pokémon series, known for his gadgets and close companionship with Ash Ketchum during their Kalos journey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clemont Target entity description: Clemont is an intelligent and inventive Lumiose City Gym Leader in the Pokémon series, known for his gadgets and close companionship with Ash Ketchum during their Kalos journey.
-
A.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
B.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
C.
Taillibert
Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
- 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_69e66ad7270081908ed8513a8363e9b1 |
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.