Triple

T12700133
Position Surface form Disambiguated ID Type / Status
Subject Better Off Ted E303437 entity
Predicate portrayedBy P1507 FINISHED
Object Malcolm Barrett
Malcolm Barrett is an American actor best known for his roles in television series such as "Better Off Ted" and "Timeless."
E998361 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: Malcolm Barrett | Statement: [Better Off Ted, portrayedBy, Malcolm Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Barrett
Context triple: [Better Off Ted, portrayedBy, Malcolm Barrett]
  • A. Luke Bracey
    Luke Bracey is an Australian actor known for his roles in films such as "Hacksaw Ridge," "Point Break" (2015), and "The Best of Me."
  • B. Gabriel Scott
    Gabriel Scott is one of the children of Scottish actor Dougray Scott.
  • 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. Justin Malen
    Justin Malen is an American screenwriter known for writing mainstream studio comedies such as "Yes Day" and "Office Christmas Party."
  • E. Garret Nagle
    Garret Nagle is an Irish environmentalist and academic known for his work in geography and sustainable development.
  • 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: Malcolm Barrett
Triple: [Better Off Ted, portrayedBy, Malcolm Barrett]
Generated description
Malcolm Barrett is an American actor best known for his roles in television series such as "Better Off Ted" and "Timeless."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malcolm Barrett
Target entity description: Malcolm Barrett is an American actor best known for his roles in television series such as "Better Off Ted" and "Timeless."
  • A. Luke Bracey
    Luke Bracey is an Australian actor known for his roles in films such as "Hacksaw Ridge," "Point Break" (2015), and "The Best of Me."
  • B. Gabriel Scott
    Gabriel Scott is one of the children of Scottish actor Dougray Scott.
  • 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. Justin Malen
    Justin Malen is an American screenwriter known for writing mainstream studio comedies such as "Yes Day" and "Office Christmas Party."
  • E. Garret Nagle
    Garret Nagle is an Irish environmentalist and academic known for his work in geography and sustainable development.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ef65ac8190aedf9ade3a68e24e completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b27790819085f0f03af33f8f21 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6740129688190b286ce7acb4848c7 completed May 2, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69f675249d248190933421df49d3a2ab completed May 2, 2026, 10:05 p.m.
Created at: April 9, 2026, 5:22 p.m.