Triple

T13502111
Position Surface form Disambiguated ID Type / Status
Subject Jervis McEntee E320917 entity
Predicate givenName P17 FINISHED
Object Jervis E211834 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: Jervis | Statement: [Jervis McEntee, givenName, Jervis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jervis
Context triple: [Jervis McEntee, givenName, Jervis]
  • A. Jervis chosen
    Jervis is a masculine given name of English origin, historically used in various English-speaking countries.
  • B. Jervis
    Jervis is a tram stop on Dublin's Luas light rail system, serving the city center near Jervis Street and the Jervis Shopping Centre.
  • C. Nelson
    Nelson is a masculine given name of English origin that has been borne by various notable figures in politics, sports, and the arts.
  • D. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • E. Nelson
    Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf50f4a48190a44fc537b78c32fd completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75489e9908190b133937b5e92732d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.