Triple

T9392945
Position Surface form Disambiguated ID Type / Status
Subject Ted Kramer E226067 entity
Predicate notableRelationship P1481 FINISHED
Object Billy Kramer E226068 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: Billy Kramer | Statement: [Ted Kramer, notableRelationship, Billy Kramer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Kramer
Context triple: [Ted Kramer, notableRelationship, Billy Kramer]
  • A. Billy Kramer chosen
    Billy Kramer is the young son at the emotional center of the film "Kramer vs. Kramer," whose custody battle between his parents drives the story’s exploration of family, responsibility, and divorce.
  • B. Bill Kramer
    Bill Kramer is an American entrepreneur best known for establishing the iconic independent bookstore and café Kramerbooks & Afterwords Cafe in Washington, D.C.
  • C. Greg Kihn
    Greg Kihn is an American rock musician and singer-songwriter best known as the frontman of The Greg Kihn Band, which had 1980s hits like "The Breakup Song" and "Jeopardy."
  • D. Bobby Ellis
    Bobby Ellis is a student associated with St. Clare's School.
  • E. Jimmy Means
    Jimmy Means is a former American NASCAR driver and longtime team owner best known for his underdog presence in the Cup Series during the 1970s and 1980s.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510fec6481908b51c497744068c8 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107949fe4819089f68a2c368af82f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:45 p.m.