Triple

T4623448
Position Surface form Disambiguated ID Type / Status
Subject Hold Back the Dawn E101039 entity
Predicate starring P1507 FINISHED
Object Victor Francen E215314 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 Francen | Statement: [Hold Back the Dawn, starring, Victor Francen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Francen
Context triple: [Hold Back the Dawn, starring, Victor Francen]
  • A. Victor Francen chosen
    Victor Francen was a Belgian-born French actor known for his distinguished presence in European and Hollywood films of the 1930s and 1940s.
  • B. Victor Van Dort
    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.
  • C. 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.
  • D. Jean van Duren
    Jean van Duren was an 18th-century publisher known for issuing the political treatise "Anti-Machiavel," often associated with Frederick the Great.
  • E. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaa069388190b6482315708b85c2 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.