Triple

T18351100
Position Surface form Disambiguated ID Type / Status
Subject Kafka on the Shore E439667 entity
Predicate translatedBy P21431 FINISHED
Object Philip Gabriel NE NERFINISHED

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: Philip Gabriel | Statement: [Kafka on the Shore, translatedBy, Philip Gabriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Gabriel
Context triple: [Kafka on the Shore, translatedBy, Philip Gabriel]
  • A. Philip Gabriel chosen
    Philip Gabriel is an American translator and scholar best known for translating numerous works of contemporary Japanese literature, including many novels by Haruki Murakami, into English.
  • B. Klenord Raphael
    Klenord Raphael, better known as Shaft, is a music executive and songwriter recognized for managing Cardi B and contributing to several of her hit records.
  • C. Philip Sanger
    Philip Sanger is a notable member of the Sanger family, recognized for his prominence within this historically significant lineage.
  • D. Ted Barrett
    Ted Barrett is a veteran Major League Baseball umpire known for working numerous postseason games and serving as a crew chief in multiple World Series.
  • E. Michael Goguen
    Michael Goguen is an American animation producer and director best known for his work on numerous superhero and action-oriented animated television series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f83b648190b473cf611851c666 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.