Triple

T16056536
Position Surface form Disambiguated ID Type / Status
Subject From Beyond E389494 entity
Predicate cinematographyBy P1953 FINISHED
Object Mac Ahlberg E345339 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: Mac Ahlberg | Statement: [From Beyond, cinematographyBy, Mac Ahlberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac Ahlberg
Context triple: [From Beyond, cinematographyBy, Mac Ahlberg]
  • A. Mac Ahlberg chosen
    Mac Ahlberg was a Swedish cinematographer and film director known for his work on numerous genre and Hollywood films, including major studio comedies and action movies.
  • B. Gary Kellgren
    Gary Kellgren was an influential American recording engineer and producer best known for co-founding the famed Record Plant studios and working with major rock and pop artists in the 1960s and 1970s.
  • C. Kim Lundgren
    Kim Lundgren is an entrepreneur best known as one of the founders behind the German airline Air Berlin.
  • D. Garrick Ohlsson
    Garrick Ohlsson is an American classical pianist renowned for his interpretations of Chopin and other Romantic repertoire, as well as for his extensive international concert and recording career.
  • E. Daniel Nannskog
    Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe49bd0819088e25de082184133 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.