Triple

T15616754
Position Surface form Disambiguated ID Type / Status
Subject Graham Rogers E375433 entity
Predicate notableWork P4 FINISHED
Object Struck by Lightning E1050574 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: Struck by Lightning | Statement: [Graham Rogers, notableWork, Struck by Lightning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Struck by Lightning
Context triple: [Graham Rogers, notableWork, Struck by Lightning]
  • A. Struck by Lightning chosen
    Struck by Lightning is a 2012 dark comedy film about a high school student who blackmails his classmates to get into his dream college, featuring Sarah Hyland in its ensemble cast.
  • B. Lightning
    Lightning is the athletic mascot representing Sage Hill School’s sports teams and school spirit.
  • C. Lightning
    Lightning is Apple’s proprietary compact connector used for charging and data transfer on many of its mobile devices and accessories.
  • D. Lightning
    Lightning is the blue winged horse mascot that represents the Middle Tennessee State University Blue Raiders athletic teams.
  • E. Lightning
    Lightning is the nickname of the Milton Keynes Lightning, a professional ice hockey team based in Milton Keynes, England.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.