Triple

T21651576
Position Surface form Disambiguated ID Type / Status
Subject Graeme Murphy E534350 entity
Predicate givenName P17 FINISHED
Object Graeme NE NERFINISHED

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: Graeme | Statement: [Graeme Murphy, givenName, Graeme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graeme
Context triple: [Graeme Murphy, givenName, Graeme]
  • A. Graeme chosen
    Graeme is a masculine given name of Scottish origin, commonly used in English-speaking countries.
  • B. Graeme Willy
    Graeme Willy is a socially awkward, sci-fi-obsessed comic book artist and one of the main human protagonists in the 2011 sci-fi comedy film "Paul."
  • C. Roland Graeme
    Roland Graeme is the young, impulsive protagonist of Walter Scott’s historical novel "The Abbot," whose adventures unfold amid the religious and political turmoil of 16th-century Scotland.
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Gareth
    Gareth is a masculine given name of Welsh origin, commonly used in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5914a3f88190b797188eba34edd8 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.