Triple

T15493726
Position Surface form Disambiguated ID Type / Status
Subject No Man's Land E378760 entity
Predicate mainCharacter P1183 FINISHED
Object Cera E416073 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: Cera | Statement: [No Man's Land, mainCharacter, Cera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cera
Context triple: [No Man's Land, mainCharacter, Cera]
  • A. Cera chosen
    Cera is the surname of Canadian actor Michael Cera, known for his roles in films like "Superbad" and the series "Arrested Development."
  • B. Caron
    Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Tamra
    Tamra is an Arab town in northern Israel that became part of the state during the 1948 Arab–Israeli War and has since developed into a significant local center for the region’s Arab community.
  • E. Mica
    Mica is a biblical figure mentioned in the Old Testament as a descendant of King Saul through Mephibosheth.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.