Triple

T15510992
Position Surface form Disambiguated ID Type / Status
Subject Brick Owens E368707 entity
Predicate nickname P55 FINISHED
Object Brick
Brick is the nickname of American baseball umpire Brick Owens, who worked in the major leagues in the early 20th century.
 E1160578 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: Brick | Statement: [Brick Owens, nickname, Brick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brick
Context triple: [Brick Owens, nickname, Brick]
  • A. Brick
    Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
  • B. Brick
    "Brick" is a melancholic piano-driven ballad by Ben Folds Five that poignantly explores the emotional fallout of a teenage couple dealing with an abortion.
  • C. Brick
    Brick is a hulking, melee-focused Vault Hunter and one of the original playable protagonists in the Borderlands video game series.
  • D. Lego
    Lego is a globally popular line of interlocking plastic construction toys produced by The Lego Group, known for enabling creative building and inspiring a wide range of media, games, and themed experiences.
  • E. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • 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: Brick
Triple: [Brick Owens, nickname, Brick]
Generated description
Brick is the nickname of American baseball umpire Brick Owens, who worked in the major leagues in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brick
Target entity description: Brick is the nickname of American baseball umpire Brick Owens, who worked in the major leagues in the early 20th century.
  • A. Brick
    Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
  • B. Brick
    "Brick" is a melancholic piano-driven ballad by Ben Folds Five that poignantly explores the emotional fallout of a teenage couple dealing with an abortion.
  • C. Brick
    Brick is a hulking, melee-focused Vault Hunter and one of the original playable protagonists in the Borderlands video game series.
  • D. Lego
    Lego is a globally popular line of interlocking plastic construction toys produced by The Lego Group, known for enabling creative building and inspiring a wide range of media, games, and themed experiences.
  • E. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36702ebc81908d6a00243865de61 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff379902e48190a84c71f532140f14 completed May 9, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff384962f88190964fc040a2a44aa8 completed May 9, 2026, 1:36 p.m.
Created at: April 10, 2026, 3:55 a.m.