Triple

T8782580
Position Surface form Disambiguated ID Type / Status
Subject The Christmas Song E208767 entity
Predicate hasLyricist P1141 FINISHED
Object Bob Wells E208767 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: Bob Wells | Statement: [The Christmas Song, hasLyricist, Bob Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Wells
Context triple: [The Christmas Song, hasLyricist, Bob Wells]
  • A. Bob Wells chosen
    Bob Wells was an American songwriter best known for co-writing the classic holiday standard "The Christmas Song (Chestnuts Roasting on an Open Fire)."
  • B. Bob Wells
    Bob Wells is a real-life van-dwelling nomad, YouTube personality, and advocate for alternative, minimalist living who appears as himself in the film "Nomadland."
  • C. Edward Earle
    Edward Earle was a British-born American film and television actor active from the silent era through the mid-20th century.
  • D. Howard McNear
    Howard McNear was an American character actor best known for playing the genial barber Floyd Lawson on the classic television series "The Andy Griffith Show."
  • E. George Clayton Johnson
    George Clayton Johnson was an American science fiction writer and screenwriter best known for co-writing the novel "Logan's Run" and contributing classic episodes to "The Twilight Zone" and "Star Trek."
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7155b081908891e84b704f0ebf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f3eff908190909e6beb3df0e106 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:42 p.m.