Triple

T3536762
Position Surface form Disambiguated ID Type / Status
Subject Everything Is Awesome E74790 entity
Predicate lyricist P1360 FINISHED
Object Shawn Patterson E388793 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: Shawn Patterson | Statement: [Everything Is Awesome, lyricist, Shawn Patterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Patterson
Context triple: [Everything Is Awesome, lyricist, Shawn Patterson]
  • A. Shawn Patterson chosen
    Shawn Patterson is an American composer and songwriter best known for his work on film and television scores, including the hit song "Everything Is Awesome" from The Lego Movie.
  • B. Bryan Shaw
    Bryan Shaw is an American Major League Baseball relief pitcher known for his durability and heavy workload out of the bullpen, particularly during his tenure with the Cleveland Indians.
  • C. Shawn Matthews
    Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
  • D. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • E. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc7b92481908d2d99948780f4d0 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4faf333d4819094293a326196fe50 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:20 p.m.