Triple

T6954366
Position Surface form Disambiguated ID Type / Status
Subject Before I Fall E161204 entity
Predicate castMember P1668 FINISHED
Object Logan Miller
Logan Miller is an American actor known for his roles in films such as "Before I Fall" and various television series.
E630779 NE FINISHED

How this triple was built (4 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: [Before I Fall, castMember, Logan Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logan Miller
Context triple: [Before I Fall, castMember, Logan Miller]
  • A. Jeremy Miller
    Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
  • B. Nate Miller
    Nate Miller is an American soccer coach best known for managing the USL Championship club San Diego Loyal SC.
  • C. 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.
  • D. 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.
  • E. Logan Hughes
    Logan Hughes is a recurring child character on the American sitcom "Yes, Dear," appearing as part of the extended family dynamic central to the show's comedic storylines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Logan Miller
Triple: [Before I Fall, castMember, Logan Miller]
Generated description
Logan Miller is an American actor known for his roles in films such as "Before I Fall" and various television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Logan Miller
Target entity description: Logan Miller is an American actor known for his roles in films such as "Before I Fall" and various television series.
  • A. Jeremy Miller
    Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
  • B. Nate Miller
    Nate Miller is an American soccer coach best known for managing the USL Championship club San Diego Loyal SC.
  • C. 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.
  • D. 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.
  • E. Logan Hughes
    Logan Hughes is a recurring child character on the American sitcom "Yes, Dear," appearing as part of the extended family dynamic central to the show's comedic storylines.
  • F. None of above. chosen

Provenance (5 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759a5eebc8190934ea04a2ce20287 completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c75a19d27c819089cfa625dfccfe6f completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:29 p.m.