Triple

T16632703
Position Surface form Disambiguated ID Type / Status
Subject The SpongeBob SquarePants Movie E404114 entity
Predicate cinematography P1953 FINISHED
Object Jerzy Zieliński E772303 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: Jerzy Zieliński | Statement: [The SpongeBob SquarePants Movie, cinematography, Jerzy Zieliński]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerzy Zieliński
Context triple: [The SpongeBob SquarePants Movie, cinematography, Jerzy Zieliński]
  • A. Jerzy Zieliński chosen
    Jerzy Zieliński is a Polish cinematographer known for his work on both European and Hollywood films, including the dark comedy thriller "Teaching Mrs. Tingle."
  • B. Grzegorz Napieralski
    Grzegorz Napieralski is a Polish left-wing politician who served as a prominent leader of the Democratic Left Alliance and a member of the Polish parliament and European Parliament.
  • C. Krzysztof Zdzitowiecki
    Krzysztof Zdzitowiecki is a Polish mountaineer known for participating in the first ascent of the Himalayan peak Gasherbrum III.
  • D. Grzegorz Lato
    Grzegorz Lato is a former Polish footballer renowned as one of Poland’s greatest forwards, celebrated for his prolific scoring and key role in the national team’s successes in the 1970s.
  • E. Michal Zielinski
    Michal Zielinski is a researcher who contributed as a co-author to the landmark 2021 Nature paper on AlphaFold by Jumper et al., which revolutionized protein structure prediction using deep learning.
  • 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_6a00b27b88c481909afe9271f70a5c4c completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:17 a.m.