Triple

T12854863
Position Surface form Disambiguated ID Type / Status
Subject Victoria Everglot E307424 entity
Predicate loveInterest P7325 FINISHED
Object Victor Van Dort E310674 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: Victor Van Dort | Statement: [Victoria Everglot, loveInterest, Victor Van Dort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Van Dort
Context triple: [Victoria Everglot, loveInterest, Victor Van Dort]
  • A. Victor Van Dort chosen
    Victor Van Dort is the shy, nervous protagonist of Tim Burton’s animated film "Corpse Bride," whose accidental marriage to a deceased bride entangles him in a gothic romance between the worlds of the living and the dead.
  • B. Victor Francen
    Victor Francen was a Belgian-born French actor known for his distinguished presence in European and Hollywood films of the 1930s and 1940s.
  • C. Lucien De Vestel
    Lucien De Vestel was a Belgian architect best known for his role in designing the European Commission’s Berlaymont building in Brussels.
  • D. Marius de Vries
    Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
  • E. Victor Meynard
    Victor Meynard is a middle-aged, solitary professional hitman whose life is upended when he unexpectedly becomes a mentor and protector in the French comedy film "Cible émouvante."
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54ce34c819080ef09ec040a4dbb completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:37 p.m.