Triple

T12052781
Position Surface form Disambiguated ID Type / Status
Subject Toby Barker E286958 entity
Predicate givenName P17 FINISHED
Object Toby E128202 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: [Toby Barker, givenName, Toby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toby
Context triple: [Toby Barker, givenName, Toby]
  • A. Toby chosen
    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
    Toby is one of the central sailor protagonists in Herman Melville’s semi-autobiographical novel "Typee," known for his role in the narrative of escape and survival among a Polynesian tribe.
  • D. Toby
    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.
  • E. Toby
    Toby is a minor character in the film "Girl, Interrupted," serving as Susanna Kaysen’s ex-boyfriend and a reminder of the outside world beyond the psychiatric hospital.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64f40388190bfb3d2a81d5fbf5e completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.