Triple

T14696789
Position Surface form Disambiguated ID Type / Status
Subject Hong E345182 entity
Predicate hasVariantForm P457 FINISHED
Object Hung E702883 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: Hung | Statement: [Hong, hasVariantForm, Hung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung
Context triple: [Hong, hasVariantForm, Hung]
  • A. Hung
    Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
  • B. Hung chosen
    Hung is a Chinese surname borne by various notable individuals, including politicians, entertainers, and athletes across the Chinese-speaking world.
  • C. Hur
    Hur is a biblical figure from the Old Testament, traditionally regarded as a leader of Israel and associate of Moses during the Exodus.
  • D. Hüpede
    Hüpede is a village and district of the town of Pattensen in Lower Saxony, Germany.
  • E. Haluk
    Haluk is a masculine given name of Turkish origin, commonly used in Turkey.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58855e081908b38f9515db5677f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde19040e0819099159ed2609c6965 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.