Triple

T4098052
Position Surface form Disambiguated ID Type / Status
Subject Marks E87869 entity
Predicate hasNotableBearer P458 FINISHED
Object Johnny Marks E197627 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: Johnny Marks | Statement: [Marks, hasNotableBearer, Johnny Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Marks
Context triple: [Marks, hasNotableBearer, Johnny Marks]
  • A. Johnny Marks chosen
    Johnny Marks was an American songwriter best known for composing classic Christmas songs, including "Rudolph the Red-Nosed Reindeer."
  • B. Roger Miller
    Roger Miller was an American country music singer-songwriter and humorist best known for hits like "King of the Road" and his whimsical contributions to film soundtracks.
  • C. Johnny Burke
    Johnny Burke was an American lyricist best known for writing popular standards for film and popular music, often in partnership with composer Jimmy Van Heusen.
  • D. Gene Harris
    Gene Harris was an American jazz pianist celebrated for his soulful, blues-infused style and influential work in both small groups and big band settings.
  • E. Ernie McCracken
    Ernie McCracken is the flamboyantly villainous professional bowler and main antagonist portrayed by Bill Murray in the comedy film "Kingpin."
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefce017708190a4d33753fd32a7bb completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b725788819091c6aaeccfb86964 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.