Triple

T15711991
Position Surface form Disambiguated ID Type / Status
Subject It Follows E380860 entity
Predicate starring P1507 FINISHED
Object Maika Monroe E1112618 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: Maika Monroe | Statement: [It Follows, starring, Maika Monroe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maika Monroe
Context triple: [It Follows, starring, Maika Monroe]
  • A. Maika Monroe chosen
    Maika Monroe is an American actress and former professional kiteboarder known for her breakout roles in films like "It Follows" and "The Guest."
  • B. Isabel LaBeouf
    Isabel LaBeouf is the daughter of American actor and filmmaker Shia LaBeouf.
  • C. Dylan Penn
    Dylan Penn is an American model and actress, known for her work in fashion campaigns and film roles as well as being the daughter of actors Sean Penn and Robin Wright.
  • D. Emily Rose
    Emily Rose is the fictional young woman at the center of the supernatural horror film "The Exorcism of Emily Rose," whose mysterious demonic possession and death lead to a dramatic courtroom trial.
  • E. Dakota Lohan
    Dakota Lohan is an American model and media personality best known as the younger brother of actress and singer Lindsay Lohan.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0bc4e88190be83324776b26df9 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:45 a.m.