Triple

T22952448
Position Surface form Disambiguated ID Type / Status
Subject Caroline Seger E570054 entity
Predicate familyName P18 FINISHED
Object Seger 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: Seger | Statement: [Caroline Seger, familyName, Seger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seger
Context triple: [Caroline Seger, familyName, Seger]
  • A. Seger chosen
    Seger is a Swedish surname borne by various notable individuals in sports, entertainment, and other fields.
  • B. Bob Seger
    Bob Seger is an American rock singer-songwriter and musician known for his raspy voice and heartland rock anthems such as "Night Moves" and "Old Time Rock and Roll."
  • C. Dobie Gray
    Dobie Gray was an American singer and songwriter best known for his soulful hit "Drift Away," which became a classic of 1970s pop and rock music.
  • D. Joko Seger
    Joko Seger is a legendary figure in Tenggerese folklore, revered as a cultural and spiritual ancestor associated with the Kasada ceremony on Mount Bromo in Indonesia.
  • E. Bo Welch
    Bo Welch is an American production designer and film director known for his imaginative visual work on films such as "Beetlejuice," "Edward Scissorhands," and "Men in Black."
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.