Triple

T21431845
Position Surface form Disambiguated ID Type / Status
Subject Howard Han E528705 entity
Predicate hasAlias P455 FINISHED
Object Chim NE NERFINISHED

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: Chim | Statement: [Howard Han, hasAlias, Chim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chim
Context triple: [Howard Han, hasAlias, Chim]
  • A. Chim chosen
    Chim was the professional name of David Seymour, a renowned Polish-born photojournalist and co-founder of the Magnum Photos agency.
  • B. Chimor
    Chimor was a powerful pre-Columbian coastal empire in northern Peru, centered at the city of Chan Chan and known for its sophisticated irrigation, metallurgy, and monumental adobe architecture.
  • C. Chama
    Chama is an alternative name for the Ese Ejja, an Indigenous people of the Amazonian region of Bolivia and Peru.
  • D. Chimaji
    Chimaji was an 18th-century Maratha military leader and younger brother of Peshwa Baji Rao I, known for his campaigns against the Portuguese in western India.
  • E. Chame
    Chame is a village in Nepal's Manang District that serves as a key stopover and administrative center along the popular Annapurna Circuit trekking route.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3ec70f08190b84c4f747cfb290f completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.