Triple

T8129536
Position Surface form Disambiguated ID Type / Status
Subject Love, Simon E189819 entity
Predicate starring P1507 FINISHED
Object Logan Miller E630779 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: Logan Miller | Statement: [Love, Simon, starring, Logan Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logan Miller
Context triple: [Love, Simon, starring, Logan Miller]
  • A. Logan Miller chosen
    Logan Miller is an American actor known for his roles in films such as "Before I Fall" and various television series.
  • B. Jeremy Miller
    Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
  • C. Nate Miller
    Nate Miller is an American soccer coach best known for managing the USL Championship club San Diego Loyal SC.
  • D. Logan Metz
    Logan Metz is an American musician best known as a member of Lukas Nelson & Promise of the Real, contributing keyboards, vocals, and multi-instrumental work to the band’s rock and country-infused sound.
  • E. Zach Mills
    Zach Mills is an American actor best known for his role in the science fiction film "Super 8" and other family-oriented movies and television projects.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3457196081909f739af8c17b4d4c completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:34 p.m.