Triple

T10494531
Position Surface form Disambiguated ID Type / Status
Subject A Tale of Love and Darkness E247499 entity
Predicate editedBy P1954 FINISHED
Object Martin Pensa E197241 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: Martin Pensa | Statement: [A Tale of Love and Darkness, editedBy, Martin Pensa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Pensa
Context triple: [A Tale of Love and Darkness, editedBy, Martin Pensa]
  • A. Martin Pensa chosen
    Martin Pensa is a Canadian film editor known for his work on major feature films, including the survival drama "The Mountain Between Us."
  • B. Paul Palmentola
    Paul Palmentola was a mid-20th-century American art director known for his work on historical and adventure films.
  • C. Paul Porcasi
    Paul Porcasi was an Italian-American character actor active in early Hollywood cinema, often cast in supporting roles in numerous films of the 1920s and 1930s.
  • D. Adam Pisoni
    Adam Pisoni is an American entrepreneur and technology executive best known as the co-founder and former CTO of the enterprise social networking company Yammer.
  • E. Joseph Mascolo
    Joseph Mascolo was an American actor best known for his long-running role as the villainous Stefano DiMera on the soap opera "Days of Our Lives."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.