Triple

T14211643
Position Surface form Disambiguated ID Type / Status
Subject Haki R. Madhubuti E352246 entity
Predicate givenName P17 FINISHED
Object Haki E352246 NE FINISHED

How this triple was built (2 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: Haki | Statement: [Haki R. Madhubuti, givenName, Haki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haki
Context triple: [Haki R. Madhubuti, givenName, Haki]
  • A. Haki chosen
    Haki is the given name of Haki R. Madhubuti, a prominent African-American poet, publisher, and leading figure of the Black Arts Movement.
  • B. Haqniq
    Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
  • C. HAK
    HAK is the IATA airport code for Haikou Meilan International Airport, the main air gateway to Haikou in China’s Hainan Province.
  • D. Haki Karer
    Haki Karer was a Kurdish revolutionary and early ideological leader whose activism and martyrdom played a key role in shaping the foundations of the Kurdistan Workers’ Party (PKK).
  • E. Haql
    Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.