Triple

T3621656
Position Surface form Disambiguated ID Type / Status
Subject Ron Burgundy E76739 entity
Predicate hasColleague P398 FINISHED
Object Brick Tamland E372919 NE FINISHED

How this triple was built (2 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 Tamland | Statement: [Ron Burgundy, hasColleague, Brick Tamland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brick Tamland
Context triple: [Ron Burgundy, hasColleague, Brick Tamland]
  • A. Brick Tamland chosen
    Brick Tamland is the dim-witted yet endearing weatherman of the Channel 4 News Team in the comedy film "Anchorman: The Legend of Ron Burgundy," known for his absurd non sequiturs and childlike behavior.
  • B. 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.
  • C. Brick Top
    Brick Top is a ruthless and sadistic London crime boss in the film "Snatch," known for his brutal methods and memorable, darkly comic dialogue.
  • D. Boring Bricks
    Boring Bricks are interlocking construction blocks made from recycled tunnel excavation materials, developed by Elon Musk’s The Boring Company for low-cost, sustainable building.
  • E. Bricksburg
    Bricksburg is the primary LEGO city setting in "The LEGO Movie," depicted as a bustling, highly structured world built entirely from LEGO bricks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f0e8d1c8190ae1728d07d5a9e87 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.