Triple
T15429781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Gold and Silver |
E369605
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Silver
Silver is the rival character in Pokémon Gold and Silver, known for his harsh demeanor and character growth throughout the games.
|
E1155620
|
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: Silver | Statement: [Pokémon Gold and Silver, notableCharacter, Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Context triple: [Pokémon Gold and Silver, notableCharacter, Silver]
-
A.
Silver
Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
-
B.
Silver
Silver is a mid-level frequent flyer status tier that offers travelers enhanced benefits and privileges over the basic membership level.
-
C.
Silver
Silver is the iconic white stallion famously ridden by the masked Western hero the Lone Ranger.
-
D.
silver zarih
The silver zarih is an ornate, silver-encased lattice structure that surrounds and marks the sacred burial site within the Al-Abbas Shrine in Karbala.
-
E.
Gold
Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
- 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: Silver Triple: [Pokémon Gold and Silver, notableCharacter, Silver]
Generated description
Silver is the rival character in Pokémon Gold and Silver, known for his harsh demeanor and character growth throughout the games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Target entity description: Silver is the rival character in Pokémon Gold and Silver, known for his harsh demeanor and character growth throughout the games.
-
A.
Silver
Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
-
B.
Silver
Silver is a mid-level frequent flyer status tier that offers travelers enhanced benefits and privileges over the basic membership level.
-
C.
Silver
Silver is the iconic white stallion famously ridden by the masked Western hero the Lone Ranger.
-
D.
silver zarih
The silver zarih is an ornate, silver-encased lattice structure that surrounds and marks the sacred burial site within the Al-Abbas Shrine in Karbala.
-
E.
Gold
Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b4c13e08190b2ccee59da02d0ae |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bde8914819087d5d2ac88de34aa |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:21 a.m.