Triple

T11601007
Position Surface form Disambiguated ID Type / Status
Subject Thomas Nelson Jr. E275128 entity
Predicate familyName P18 FINISHED
Object Nelson E1145 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: Nelson | Statement: [Thomas Nelson Jr., familyName, Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelson
Context triple: [Thomas Nelson Jr., familyName, Nelson]
  • A. Nelson chosen
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • B. Nelson
    Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
  • C. Nelson
    Nelson is a coastal city at the top of New Zealand’s South Island, known for its arts scene, sunny climate, and access to nearby national parks.
  • D. Nelson
    Nelson is a masculine given name of English origin that has been borne by various notable figures in politics, sports, and the arts.
  • E. 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.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954c3c248190bcccd4c7ff667b3a completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7f018a881908f4b206699044ceb completed April 22, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:38 p.m.