Triple

T9111550
Position Surface form Disambiguated ID Type / Status
Subject Lübeck Mann family E218612 entity
Predicate hasMember P10 FINISHED
Object Julia Mann E281026 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: Julia Mann | Statement: [Lübeck Mann family, hasMember, Julia Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Mann
Context triple: [Lübeck Mann family, hasMember, Julia Mann]
  • A. Julia Mann chosen
    Julia Mann was the mother of German novelist Thomas Mann and a key figure in the prominent Mann literary family.
  • B. Julia Wheatley
    Julia Wheatley is a local political leader who serves as the mayor of Queen Creek, Arizona.
  • C. Juliana Raymond
    Juliana Raymond is a daughter of 19th-century American journalist and politician Henry Jarvis Raymond, co-founder of The New York Times.
  • D. Julia Phillips
    Julia Phillips was a pioneering American film producer and writer, best known for helping bring landmark 1970s films like "Taxi Driver" and "Close Encounters of the Third Kind" to the screen and for being the first female producer to win a Best Picture Oscar.
  • E. Erica Mann
    Erica Mann is the wife of late American actor, director, and writer Harold Ramis, known for his work on films like "Ghostbusters" and "Groundhog Day."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8495c448190b9bb3803fb2dda70 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf002c081909bb82bb765bbf4b1 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:16 p.m.