Triple

T2948077
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Nesser E79550 entity
Predicate hasChild P369 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: [Adrienne Nesser, hasChild, Jakob Danger Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakob Danger Armstrong
Context triple: [Adrienne Nesser, hasChild, 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. Jeremiah Biggs
    Jeremiah Biggs is the son of Reverend Henry Biggs, a clergyman known in his community for his religious leadership.
  • C. Jack Napier
    Jack Napier is the gangster who becomes the Joker, the primary antagonist in Tim Burton’s 1989 Batman film.
  • D. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • E. Jacob Nix
    Jacob Nix is an American professional baseball pitcher who has played in Major League Baseball, notably for the San Diego Padres.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08695bea08190abce552493abda57 completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:57 p.m.