Triple

T13351379
Position Surface form Disambiguated ID Type / Status
Subject Roger Donaldson E318075 entity
Predicate notableWork P4 FINISHED
Object Species E498081 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: Species | Statement: [Roger Donaldson, notableWork, Species]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Species
Context triple: [Roger Donaldson, notableWork, Species]
  • A. Species chosen
    Species is a 1995 science fiction horror film about a deadly alien-human hybrid that escapes containment and goes on a violent rampage.
  • B. Wikispecies
    Wikispecies is a Wikimedia Foundation project that serves as a free, collaborative directory of species and taxonomic information.
  • C. Sphecodes
    Sphecodes is a genus of cleptoparasitic “cuckoo bees” known for laying their eggs in the nests of other bee species.
  • D. Davidsoniella
    Davidsoniella is a genus of fungi in the family Ceratocystidaceae, known for species that often act as plant pathogens associated with wood and tree diseases.
  • E. Closterium
    Closterium is a genus of crescent-shaped unicellular green algae commonly found in freshwater habitats and noted for its distinctive desmid morphology.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.