Triple

T16253102
Position Surface form Disambiguated ID Type / Status
Subject Conor O'Malley E394560 entity
Predicate hasFullName P16 FINISHED
Object Conor O'Malley E808810 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: Conor O'Malley | Statement: [Conor O'Malley, hasFullName, Conor O'Malley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conor O'Malley
Context triple: [Conor O'Malley, hasFullName, Conor O'Malley]
  • A. Conor O'Malley
    Conor O'Malley is the young boy protagonist of Patrick Ness's novel "A Monster Calls," who struggles with his mother's illness and his own complex emotions as he is visited by a mysterious monster.
  • B. Conor O'Malley chosen
    Conor O'Malley is a notable individual who bears the Irish surname O'Malley, though specific widely recognized achievements or roles associated with him are not clearly established.
  • C. Conor
    Conor is a masculine given name of Irish origin, commonly used in English-speaking countries.
  • D. Conor O’Neill
    Conor O’Neill is a film editor known for his work on Michael Moore’s documentary "Capitalism: A Love Story."
  • E. Owen Conway
    Owen Conway is the main protagonist of the science fiction story "Regeneration."
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.