Triple

T16125259
Position Surface form Disambiguated ID Type / Status
Subject Susanna Nelson E391251 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: [Susanna Nelson, familyName, Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelson
Context triple: [Susanna Nelson, familyName, Nelson]
  • A. Nelson
    Nelson is an American rock band best known for their early-1990s melodic hard rock and pop-metal hits led by twin brothers Matthew and Gunnar Nelson.
  • B. Nelson
    Nelson is an American rock band formed by twin brothers Matthew and Gunnar Nelson, known for their melodic hard rock sound and early-1990s chart success.
  • C. Nelson
    Nelson is an American rock band formed by twin brothers Matthew and Gunnar Nelson, known for their melodic hard rock and pop metal hits in the early 1990s.
  • D. Nelson chosen
    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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2abf9b08190a375abc842a0e7d0 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.