Triple

T15846277
Position Surface form Disambiguated ID Type / Status
Subject Paranormal Activity 4 E384221 entity
Predicate editedBy P1954 FINISHED
Object Gregory Plotkin E268288 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: Gregory Plotkin | Statement: [Paranormal Activity 4, editedBy, Gregory Plotkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory Plotkin
Context triple: [Paranormal Activity 4, editedBy, Gregory Plotkin]
  • A. Gregory Plotkin chosen
    Gregory Plotkin is an American film editor best known for his work on high-profile horror and genre films, including collaborations with Blumhouse Productions.
  • B. Paul Grilley
    Paul Grilley is a yoga teacher best known for popularizing Yin Yoga and for his influential work on anatomy and skeletal variation in yoga practice.
  • C. Kent Tekulve
    Kent Tekulve is a former Major League Baseball relief pitcher best known for his submarine delivery and key role in the Pittsburgh Pirates’ 1979 World Series championship.
  • D. Gregory Nussbaum
    Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
  • E. K. Trevor Wilson
    K. Trevor Wilson is a Canadian stand-up comedian and actor best known for playing the character Squirrely Dan on the television series "Letterkenny."
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.