Triple

T7022163
Position Surface form Disambiguated ID Type / Status
Subject Ultra Q E162852 entity
Predicate hasMember P10 FINISHED
Object Jakob Danger Armstrong E31888 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: Jakob Danger Armstrong | Statement: [Ultra Q, hasMember, Jakob Danger Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakob Danger Armstrong
Context triple: [Ultra Q, hasMember, Jakob Danger Armstrong]
  • A. Jakob Danger Armstrong chosen
    Jakob Danger Armstrong is an American musician and the son of Green Day frontman Billie Joe Armstrong, known for his work in alternative and punk-influenced rock projects.
  • B. Jack Deerson
    Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
  • C. Jeremiah Biggs
    Jeremiah Biggs is the son of Reverend Henry Biggs, a clergyman known in his community for his religious leadership.
  • D. Jack Napier
    Jack Napier is the gangster who becomes the Joker, the primary antagonist in Tim Burton’s 1989 Batman film.
  • E. Joseph Pike
    Joseph Pike is a relatively obscure individual whose name is notably associated with the surname Pike but who lacks widely recognized public prominence or distinguishing achievements in major historical or cultural records.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1ec34a48190b64cafb94e2f8706 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757686bc819089f6749e43bbb89d completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.