Triple

T14384646
Position Surface form Disambiguated ID Type / Status
Subject The Count of Monte Cristo (1975 film) E356691 entity
Predicate producer P490 FINISHED
Object Norman Rosemont E269569 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: Norman Rosemont | Statement: [The Count of Monte Cristo (1975 film), producer, Norman Rosemont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Rosemont
Context triple: [The Count of Monte Cristo (1975 film), producer, Norman Rosemont]
  • A. Norman Rosemont chosen
    Norman Rosemont was an American television and film producer best known for his high-quality adaptations of classic literary works.
  • B. Norman Pike
    Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
  • C. Norman Ferguson
    Norman Ferguson was an American animator and film director at Walt Disney Studios, best known for his influential work on classic Disney features during the Golden Age of animation.
  • D. Norman Riley
    Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
  • E. Norman Barren
    Norman Barren was an American entrepreneur best known as the founder of the off-price department store chain Marshalls.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9025cff881908c08224d90d9f750 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5513e8888190bc6b6cb33fd9b670 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.