Triple

T3020215
Position Surface form Disambiguated ID Type / Status
Subject Steven Poster E82435 entity
Predicate workedOn P3 FINISHED
Object Strange Brew
Strange Brew is a 1983 Canadian comedy film featuring the characters Bob and Doug McKenzie from SCTV, known for its offbeat humor and cult following.
 E318384 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: Strange Brew | Statement: [Steven Poster, workedOn, Strange Brew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strange Brew
Context triple: [Steven Poster, workedOn, Strange Brew]
  • A. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • B. Brad's Drink
    Brad's Drink was the original name of the soft drink that later became known worldwide as Pepsi.
  • C. Silver Taps
    Silver Taps is a solemn Texas A&M University tradition honoring deceased students with a nighttime campus ceremony featuring a bugle call and silent remembrance.
  • D. Goats Head Soup
    Goats Head Soup is a 1973 studio album by the Rolling Stones known for its darker tone and hit single "Angie."
  • E. Coffee (Fucking)
    "Coffee (Fucking)" is a remix version of Kelly Rowland's song "Coffee," featuring more explicit lyrics and a sensual, R&B-influenced production.
  • 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: Strange Brew
Triple: [Steven Poster, workedOn, Strange Brew]
Generated description
Strange Brew is a 1983 Canadian comedy film featuring the characters Bob and Doug McKenzie from SCTV, known for its offbeat humor and cult following.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strange Brew
Target entity description: Strange Brew is a 1983 Canadian comedy film featuring the characters Bob and Doug McKenzie from SCTV, known for its offbeat humor and cult following.
  • A. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • B. Brad's Drink
    Brad's Drink was the original name of the soft drink that later became known worldwide as Pepsi.
  • C. Silver Taps
    Silver Taps is a solemn Texas A&M University tradition honoring deceased students with a nighttime campus ceremony featuring a bugle call and silent remembrance.
  • D. Goats Head Soup
    Goats Head Soup is a 1973 studio album by the Rolling Stones known for its darker tone and hit single "Angie."
  • E. Coffee (Fucking)
    "Coffee (Fucking)" is a remix version of Kelly Rowland's song "Coffee," featuring more explicit lyrics and a sensual, R&B-influenced production.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a940c048190bc46e2c8001db8c0 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e73b5988190be0712f4ddea92f7 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12f746b50819090f3205a4e0c57f8 completed March 11, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69b1cb10a00081909b0ba2734122639c completed March 11, 2026, 8:05 p.m.
Created at: March 8, 2026, 3 p.m.