Triple

T9110226
Position Surface form Disambiguated ID Type / Status
Subject Hard to Say I'm Sorry E218580 entity
Predicate precededBy P97 FINISHED
Object Thunder and Lightning E595888 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: Thunder and Lightning | Statement: [Hard to Say I'm Sorry, precededBy, Thunder and Lightning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder and Lightning
Context triple: [Hard to Say I'm Sorry, precededBy, Thunder and Lightning]
  • A. Thunder and Lightning chosen
    "Thunder and Lightning" is the twelfth and final studio album by Irish rock band Thin Lizzy, known for its heavier sound and marking the end of the group's classic era.
  • B. Thunder and Rain
    Thunder and Rain is a contemporary Western-themed novel by Charles Martin that blends suspense, romance, and redemption in a modern Texas setting.
  • 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 a bestselling suspense novel by Dean Koontz that blends thriller, science fiction, and supernatural elements in a time-bending story of fate and protection.
  • E. Lightning Rod
    Lightning Rod is a high-speed wooden roller coaster at Dollywood in Pigeon Forge, Tennessee, renowned for its intense launch and airtime-filled layout.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca847102881908f9d86ce9883fb1a completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03038dba48190991cb76576349bc3 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.