Triple

T4967425
Position Surface form Disambiguated ID Type / Status
Subject The Year of the Flood E111560 entity
Predicate mainCharacter P1183 FINISHED
Object Toby E114760 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: Toby | Statement: [The Year of the Flood, mainCharacter, Toby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toby
Context triple: [The Year of the Flood, mainCharacter, Toby]
  • A. Toby
    Toby is a masculine given name commonly used in English-speaking countries, often as a diminutive of Tobias.
  • B. Toby
    Toby is a young, kind-hearted but ultimately traumatized boy who becomes a pivotal figure in the dark revenge tale of the 2007 musical horror film "Sweeney Todd: The Demon Barber of Fleet Street."
  • C. Toby chosen
    Toby is a central protagonist in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience, survival skills, and complex moral perspective in a post-apocalyptic world.
  • D. Toby Dammit
    Toby Dammit is an American drummer and percussionist best known for his work with Iggy Pop and various alternative rock and experimental music projects.
  • E. Toby Matthew
    Toby Matthew was an English clergyman and Archbishop of York who played a significant role in early 17th-century religious and political affairs under James I.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f8f550819099235511ca271e2d completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f43b60819091134778c6379893 completed March 21, 2026, 11:33 a.m.
Created at: March 20, 2026, 1:32 p.m.