Triple

T16166741
Position Surface form Disambiguated ID Type / Status
Subject Boss Film Studios E392322 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: [Boss Film Studios, notableWork, Species]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Species
Context triple: [Boss Film Studios, 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. Seirococcus
    Seirococcus is a genus of brown seaweeds in the order Fucales, known for its large, bushy marine algae found in coastal waters.
  • D. Sphecodes
    Sphecodes is a genus of cleptoparasitic “cuckoo bees” known for laying their eggs in the nests of other bee species.
  • E. 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.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb3ec4c81908d4e5c0f39a85900 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b96bf08190b23bd3b705a34c61 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.