Triple

T10367668
Position Surface form Disambiguated ID Type / Status
Subject Teachers E244296 entity
Predicate hasMainCharacter P1183 FINISHED
Object Brian Steadman
Brian Steadman is a central character in the film "Teachers," depicted as an idealistic educator struggling with the challenges and absurdities of the public school system.
 E860648 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: Brian Steadman | Statement: [Teachers, hasMainCharacter, Brian Steadman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brian Steadman
Context triple: [Teachers, hasMainCharacter, Brian Steadman]
  • A. Brian Snodgrass
    Brian Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
  • B. Brian Dodson
    Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
  • C. Mike Millward
    Mike Millward was an English guitarist and singer best known as a member of the 1960s Merseybeat band The Fourmost.
  • D. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • E. Michael Snodgrass
    Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
  • 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: Brian Steadman
Triple: [Teachers, hasMainCharacter, Brian Steadman]
Generated description
Brian Steadman is a central character in the film "Teachers," depicted as an idealistic educator struggling with the challenges and absurdities of the public school system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brian Steadman
Target entity description: Brian Steadman is a central character in the film "Teachers," depicted as an idealistic educator struggling with the challenges and absurdities of the public school system.
  • A. Brian Snodgrass
    Brian Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
  • B. Brian Dodson
    Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
  • C. Mike Millward
    Mike Millward was an English guitarist and singer best known as a member of the 1960s Merseybeat band The Fourmost.
  • D. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • E. Michael Snodgrass
    Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79546b078819089dec7628c95a681 completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, noon