Triple

T4148287
Position Surface form Disambiguated ID Type / Status
Subject Night Monster E89840 entity
Predicate starring P1507 FINISHED
Object Holmes Herbert E394463 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: Holmes Herbert | Statement: [Night Monster, starring, Holmes Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holmes Herbert
Context triple: [Night Monster, starring, Holmes Herbert]
  • A. Frank Campion
    Frank Campion is a Canadian municipal politician who serves as the mayor of Welland, Ontario.
  • B. Cornelius Sherlock
    Cornelius Sherlock was a British architect best known for designing prominent public buildings such as the Walker Art Gallery in Liverpool.
  • C. Arthur Chesney chosen
    Arthur Chesney was a British actor known for his character roles in early 20th-century stage and film productions.
  • D. Alfred Harker
    Alfred Harker was a British geologist and petrologist renowned for his pioneering work on igneous rocks and the geology of the British Isles.
  • E. Edward Holcroft
    Edward Holcroft is a British actor known for his roles in film and television, including appearances in the Kingsman franchise and the series London Spy.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02624a9c8190900e42e845ab7e4f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f3136c48190b158142311bfbc6d completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.