Triple

T10280716
Position Surface form Disambiguated ID Type / Status
Subject Joanna Kramer E241092 entity
Predicate hasChild P369 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: [Joanna Kramer, hasChild, Billy Kramer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Kramer
Context triple: [Joanna Kramer, hasChild, 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. Billy J. Kramer
    Billy J. Kramer is an English pop singer best known for his 1960s hits and close association with the Beatles as frontman of Billy J. Kramer and the Dakotas.
  • C. 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.
  • D. 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."
  • E. Bobby Ellis
    Bobby Ellis is a student associated with St. Clare's School.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82f16688190b1c6b80e424bd552 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:38 a.m.