Triple

T9066956
Position Surface form Disambiguated ID Type / Status
Subject Hadendoa E217267 entity
Predicate knownAs P39 FINISHED
Object Fuzzy-Wuzzy
Fuzzy-Wuzzy is a colloquial British nickname historically used for the Hadendoa people of the eastern Sudan, especially noted in 19th-century military and literary contexts.
E776021 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: Fuzzy-Wuzzy | Statement: [Hadendoa, knownAs, Fuzzy-Wuzzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuzzy-Wuzzy
Context triple: [Hadendoa, knownAs, Fuzzy-Wuzzy]
  • A. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • B. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • C. Snowman
    Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
  • D. Micklewhite
    Micklewhite is the birth surname of renowned British actor Michael Caine.
  • E. Jabberwock
    The Jabberwock is a fearsome, fantastical monster from Lewis Carroll’s nonsense poem "Jabberwocky," known for its menacing appearance and role as the creature the hero must slay.
  • 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: Fuzzy-Wuzzy
Triple: [Hadendoa, knownAs, Fuzzy-Wuzzy]
Generated description
Fuzzy-Wuzzy is a colloquial British nickname historically used for the Hadendoa people of the eastern Sudan, especially noted in 19th-century military and literary contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fuzzy-Wuzzy
Target entity description: Fuzzy-Wuzzy is a colloquial British nickname historically used for the Hadendoa people of the eastern Sudan, especially noted in 19th-century military and literary contexts.
  • A. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • B. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • C. Snowman
    Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
  • D. Micklewhite
    Micklewhite is the birth surname of renowned British actor Michael Caine.
  • E. Jabberwock
    The Jabberwock is a fearsome, fantastical monster from Lewis Carroll’s nonsense poem "Jabberwocky," known for its menacing appearance and role as the creature the hero must slay.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bde9c08190a4f568fbccc3c3e9 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d2c5688190b014ce33c04ff875 completed April 3, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69d001a1056c819083793547dbd4b1ee completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:11 p.m.