Triple

T11172179
Position Surface form Disambiguated ID Type / Status
Subject The Wolverine E264300 entity
Predicate featuresCharacter P626 FINISHED
Object Silver Samurai
Silver Samurai is a Marvel Comics Japanese mutant and master swordsman, often depicted as a high-tech armored warrior and both adversary and occasional ally of Wolverine.
E908949 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 Samurai | Statement: [The Wolverine, featuresCharacter, Silver Samurai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Samurai
Context triple: [The Wolverine, featuresCharacter, Silver Samurai]
  • A. Ronin
    Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
  • B. Saiko
    Saiko is the romanized name of Lake Sai, one of the scenic Fuji Five Lakes near Mount Fuji in Japan.
  • C. Samurai
    Samurai is a spinning thrill ride at Thorpe Park in the UK known for its intense, disorienting inversions and high-speed rotations.
  • D. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • E. Ninja
    The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
  • 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 Samurai
Triple: [The Wolverine, featuresCharacter, Silver Samurai]
Generated description
Silver Samurai is a Marvel Comics Japanese mutant and master swordsman, often depicted as a high-tech armored warrior and both adversary and occasional ally of Wolverine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Silver Samurai
Target entity description: Silver Samurai is a Marvel Comics Japanese mutant and master swordsman, often depicted as a high-tech armored warrior and both adversary and occasional ally of Wolverine.
  • A. Ronin
    Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
  • B. Saiko
    Saiko is the romanized name of Lake Sai, one of the scenic Fuji Five Lakes near Mount Fuji in Japan.
  • C. Samurai
    Samurai is a spinning thrill ride at Thorpe Park in the UK known for its intense, disorienting inversions and high-speed rotations.
  • D. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • E. Ninja
    The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463b155a08190b361b38a39d25b1f completed April 19, 2026, 5:10 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.