Triple

T17704701
Position Surface form Disambiguated ID Type / Status
Subject Baumgartner's Bombay E441398 entity
Predicate hasCharacter P2308 FINISHED
Object Hugo Baumgartner E1283813 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: Hugo Baumgartner | Statement: [Baumgartner's Bombay, hasCharacter, Hugo Baumgartner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Baumgartner
Context triple: [Baumgartner's Bombay, hasCharacter, Hugo Baumgartner]
  • A. Hugo Baumgartner chosen
    Hugo Baumgartner is the aging, displaced German-Jewish protagonist of Anita Desai’s novel "Baumgartner’s Bombay," whose life in Bombay reflects themes of exile, identity, and alienation.
  • B. Felix Baumgartner
    Felix Baumgartner is an Austrian skydiver and BASE jumper best known for his record-breaking 2012 stratospheric freefall from the edge of space.
  • C. James Baumgartner
    James Baumgartner was an American mathematician known for his influential work in set theory and its applications to topology and analysis.
  • D. Joseph Vilsmaier
    Joseph Vilsmaier was a German film director and cinematographer known for his historical and war dramas, including the World War II film "Stalingrad."
  • E. Cornelius Hackl
    Cornelius Hackl is a charming, adventure-seeking clerk from Yonkers who becomes a central romantic figure in Thornton Wilder’s play "The Matchmaker" and its musical adaptation "Hello, Dolly!".
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47296770c8190b6b172fb647da564 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242ec0b708190add75f3bd08fc446 completed May 11, 2026, 8:58 p.m.
Created at: April 10, 2026, 10:05 a.m.