Triple

T10152868
Position Surface form Disambiguated ID Type / Status
Subject Neil Kopp E232691 entity
Predicate notableWork P4 FINISHED
Object Wildlife E592626 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: Wildlife | Statement: [Neil Kopp, notableWork, Wildlife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wildlife
Context triple: [Neil Kopp, notableWork, Wildlife]
  • A. Wildlife chosen
    "Wildlife" is a 2018 American drama film, directed by Paul Dano in his feature directorial debut, that portrays a family's breakdown in 1960s Montana through the eyes of a teenage boy.
  • B. Animals
    "Animals" is a 2013 big-room house track by Dutch DJ and producer Martin Garrix that became an international hit and a defining anthem of the EDM festival era.
  • C. Animals
    Animals is a 2019 independent drama film exploring the hedonistic yet strained friendship between two women in Dublin, starring Holliday Grainger.
  • D. Animals
    Animals is a 1977 concept album by Pink Floyd, largely created by Roger Waters, that presents a dark, politically charged critique of society through extended progressive rock compositions.
  • E. Animal Conservation
    Animal Conservation is a peer-reviewed scientific journal focusing on the conservation of animal species and biodiversity.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.