Triple

T9998562
Position Surface form Disambiguated ID Type / Status
Subject The Warriors Three E197265 entity
Predicate member P10 FINISHED
Object Hogun
Hogun is a grim and stoic Asgardian warrior from Marvel Comics, best known as one of the heroic adventuring trio known as the Warriors Three and a close ally of Thor.
E833747 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: Hogun | Statement: [The Warriors Three, member, Hogun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hogun
Context triple: [The Warriors Three, member, Hogun]
  • A. Masaharu
    Masaharu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable figures in Japanese history and culture.
  • B. Nagahiro
    Nagahiro is a Japanese given name that can be used for male individuals.
  • C. Gosamaru
    Gosamaru was a prominent 15th-century Ryukyuan lord and military commander known for constructing key gusuku (castle) fortresses and playing a central role in the political unification of the Ryukyu Kingdom.
  • D. Harukichi
    Harukichi is a Japanese given name most notably borne by Harukichi Hyakutake, an Imperial Japanese Navy admiral during World War II.
  • E. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • 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: Hogun
Triple: [The Warriors Three, member, Hogun]
Generated description
Hogun is a grim and stoic Asgardian warrior from Marvel Comics, best known as one of the heroic adventuring trio known as the Warriors Three and a close ally of Thor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hogun
Target entity description: Hogun is a grim and stoic Asgardian warrior from Marvel Comics, best known as one of the heroic adventuring trio known as the Warriors Three and a close ally of Thor.
  • A. Masaharu
    Masaharu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable figures in Japanese history and culture.
  • B. Nagahiro
    Nagahiro is a Japanese given name that can be used for male individuals.
  • C. Gosamaru
    Gosamaru was a prominent 15th-century Ryukyuan lord and military commander known for constructing key gusuku (castle) fortresses and playing a central role in the political unification of the Ryukyu Kingdom.
  • D. Harukichi
    Harukichi is a Japanese given name most notably borne by Harukichi Hyakutake, an Imperial Japanese Navy admiral during World War II.
  • E. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8c78448190a5332f4ff8a7b3dd completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258439fe88190b17da69f542ecf61 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d259701e488190b288c9f523a1ec87 completed April 5, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69d259da25e081909ac184f4fa80c57e completed April 5, 2026, 12:47 p.m.
Created at: March 30, 2026, 8:51 p.m.