Triple

T16632671
Position Surface form Disambiguated ID Type / Status
Subject The SpongeBob SquarePants Movie E404114 entity
Predicate producer P490 FINISHED
Object Julia Pistor E828077 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 Pistor | Statement: [The SpongeBob SquarePants Movie, producer, Julia Pistor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Pistor
Context triple: [The SpongeBob SquarePants Movie, producer, Julia Pistor]
  • A. Julia Pistor chosen
    Julia Pistor is an American film producer known for her work on family and comedy films, including the cult favorite "Nacho Libre."
  • B. Julia von Hauke
    Julia von Hauke was a Polish-German noblewoman who became Princess of Battenberg through her morganatic marriage to Prince Alexander of Hesse and by Rhine, founding the Battenberg (later Mountbatten) line of European royalty.
  • C. Juliane Blasi
    Juliane Blasi is an automotive designer best known for her work on BMW’s second-generation Z4 (E89) roadster.
  • D. Julia Sauer
    Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
  • E. Julia Jentsch
    Julia Jentsch is a German actress acclaimed for her powerful performances in films such as "Sophie Scholl – The Final Days" and numerous other European cinema and television productions.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e704c08190a28286ac12165ea5 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae920588190b2a6b03ab1100346 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:17 a.m.