Triple

T9094190
Position Surface form Disambiguated ID Type / Status
Subject Rupert Baxter E217971 entity
Predicate appearsIn P795 FINISHED
Object Heavy Weather E145673 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: Heavy Weather | Statement: [Rupert Baxter, appearsIn, Heavy Weather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heavy Weather
Context triple: [Rupert Baxter, appearsIn, Heavy Weather]
  • A. Heavy Weather chosen
    Heavy Weather is a comic novel by P. G. Wodehouse set at Blandings Castle, featuring Lord Emsworth, his prize pig the Empress of Blandings, and a tangle of romantic and criminal misadventures.
  • B. Stormy
    "Stormy" is a popular 1968 soft rock ballad, best known as a hit single by the Atlanta Rhythm Section co-written and produced by Buddy Buie.
  • C. Strange Weather
    Strange Weather is a collection of four horror and dark fantasy novellas by Joe Hill that explore unsettling, supernatural twists on everyday life.
  • D. 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.
  • E. Storm
    "Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01803b0288190a86b544892d4b6ed completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.