Triple

T10514781
Position Surface form Disambiguated ID Type / Status
Subject The Blind Side E248003 entity
Predicate mainCharacter P1183 FINISHED
Object Michael Oher
Michael Oher is a former American football offensive tackle whose life story of rising from poverty to NFL success was popularized in the book and film "The Blind Side."
 E868283 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: Michael Oher | Statement: [The Blind Side, mainCharacter, Michael Oher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Oher
Context triple: [The Blind Side, mainCharacter, Michael Oher]
  • A. Ser'Darius Blain
    Ser'Darius Blain is an American actor best known for his role as Anthony "Fridge" Johnson in the recent Jumanji film series.
  • B. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • C. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • D. Shawn Hochuli
    Shawn Hochuli is an American NFL official who followed his father Ed Hochuli into a prominent career as a referee.
  • E. Ada Foah
    Ada Foah is a coastal town in southeastern Ghana known for its beaches, estuary scenery, and role as a local fishing and tourism center.
  • 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: Michael Oher
Triple: [The Blind Side, mainCharacter, Michael Oher]
Generated description
Michael Oher is a former American football offensive tackle whose life story of rising from poverty to NFL success was popularized in the book and film "The Blind Side."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Oher
Target entity description: Michael Oher is a former American football offensive tackle whose life story of rising from poverty to NFL success was popularized in the book and film "The Blind Side."
  • A. Ser'Darius Blain
    Ser'Darius Blain is an American actor best known for his role as Anthony "Fridge" Johnson in the recent Jumanji film series.
  • B. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • C. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • D. Shawn Hochuli
    Shawn Hochuli is an American NFL official who followed his father Ed Hochuli into a prominent career as a referee.
  • E. Ada Foah
    Ada Foah is a coastal town in southeastern Ghana known for its beaches, estuary scenery, and role as a local fishing and tourism center.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90df141488190a2674546aa437de8 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:27 p.m.