Triple

T20305769
Position Surface form Disambiguated ID Type / Status
Subject Tom T. Hall E505604 entity
Predicate wrote P2831 FINISHED
Object I Like Beer NE NERFINISHED

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: I Like Beer | Statement: [Tom T. Hall, wrote, I Like Beer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Like Beer
Context triple: [Tom T. Hall, wrote, I Like Beer]
  • A. I Like Beer chosen
    "I Like Beer" is a humorous country song by Tom T. Hall celebrating his fondness for beer and everyday pleasures.
  • B. I Wants My Beer
    "I Wants My Beer" is a punk rock song by Marky Ramone and the Intruders, showcasing their raw, fast-paced style and irreverent lyrics.
  • C. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • D. The Man Who Loved Beer
    "The Man Who Loved Beer" is a song by British singer-songwriter David Byrne, featured on his 2004 album *Grown Backwards*.
  • E. From Beer to Eternity
    From Beer to Eternity is a 2013 industrial metal album by the American band Ministry, known for its aggressive sound and politically charged themes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773f8f688190b616f972b9bbb28e completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.