Triple

T22320790
Position Surface form Disambiguated ID Type / Status
Subject Amy Farrington E551777 entity
Predicate notableWork P4 FINISHED
Object Hung 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: Hung | Statement: [Amy Farrington, notableWork, Hung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung
Context triple: [Amy Farrington, notableWork, Hung]
  • A. Hung chosen
    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
    Hung is a Chinese surname borne by various notable individuals, including politicians, entertainers, and athletes across the Chinese-speaking world.
  • C. Sad Hunk
    Sad Hunk is a 2020 studio album by Canadian musician Bahamas, blending mellow indie rock and folk with introspective, often wryly humorous songwriting.
  • D. Hur
    Hur is a biblical figure from the Old Testament, traditionally regarded as a leader of Israel and associate of Moses during the Exodus.
  • E. Hüpede
    Hüpede is a village and district of the town of Pattensen in Lower Saxony, Germany.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15763bf0881908d859f85b4a6ce28 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.