Triple

T20053612
Position Surface form Disambiguated ID Type / Status
Subject Zach Cherry E499267 entity
Predicate appearedIn P795 FINISHED
Object Crashing 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: Crashing | Statement: [Zach Cherry, appearedIn, Crashing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crashing
Context triple: [Zach Cherry, appearedIn, Crashing]
  • A. Crashing
    Crashing is a British comedy-drama television series created by and starring Phoebe Waller-Bridge, following a group of twenty-somethings living as property guardians in a disused hospital.
  • B. Crashing chosen
    Crashing is a semi-autobiographical comedy television series created by and starring Pete Holmes that follows an aspiring stand-up comedian rebuilding his life after his marriage falls apart.
  • C. CRASH
    CRASH was a specialized Los Angeles Police Department anti-gang unit focused on combating street gang activity in the city.
  • D. Crashing Down
    "Crashing Down" is a lesser-known track released as the B-side to the single "Up."
  • E. Crashout
    Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6633043a481908359ad232607182a completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.