Triple

T14744878
Position Surface form Disambiguated ID Type / Status
Subject Tangerine Dream E346441 entity
Predicate hasMember P10 FINISHED
Object Peter Baumann E885249 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: Peter Baumann | Statement: [Tangerine Dream, hasMember, Peter Baumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Baumann
Context triple: [Tangerine Dream, hasMember, Peter Baumann]
  • A. Peter Baumann chosen
    Peter Baumann is a German musician and composer best known as a former member of the electronic music group Tangerine Dream and as a pioneering figure in electronic and ambient music.
  • B. Peter Busmann
    Peter Busmann is a German architect best known for co-designing the Museum Ludwig in Cologne.
  • C. Peter Weibel
    Peter Weibel was an influential Austrian artist, curator, and media theorist known for his pioneering work in conceptual and media art and his leadership roles in major European art institutions.
  • D. Michael Bollner
    Michael Bollner is a German former child actor best known for playing Augustus Gloop in the 1971 film "Willy Wonka & the Chocolate Factory."
  • E. Patrick Bauer
    Patrick Bauer is a French ultramarathon runner and organizer best known for creating the grueling multi-stage desert race Marathon des Sables in the Sahara.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5f38488190b441dd0b385024b1 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 1:30 a.m.