Triple

T18762664
Position Surface form Disambiguated ID Type / Status
Subject Lisa Cholodenko E458810 entity
Predicate directed P7373 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: [Lisa Cholodenko, directed, Hung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung
Context triple: [Lisa Cholodenko, directed, 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d80a954819083946dafc0c7af05 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.