Triple

T15115209
Position Surface form Disambiguated ID Type / Status
Subject Tomoyuki Yamashita E361017 entity
Predicate nickname P55 FINISHED
Object Tiger of Malaya E60833 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: Tiger of Malaya | Statement: [Tomoyuki Yamashita, nickname, Tiger of Malaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger of Malaya
Context triple: [Tomoyuki Yamashita, nickname, Tiger of Malaya]
  • A. Tiger of Malaya chosen
    Tiger of Malaya is the famous wartime nickname of Japanese general Tomoyuki Yamashita, noted for his rapid conquest of British Malaya and Singapore during World War II.
  • B. The Tigress
    The Tigress is a 1927 silent crime drama film starring Dorothy Revier as a seductive and dangerous femme fatale.
  • C. The Tiger
    The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
  • D. The Tiger
    The Tiger is the costumed tiger character that serves as the spirited athletic mascot for Clemson University’s sports teams.
  • E. The Tiger in the Well
    The Tiger in the Well is a historical mystery novel by Philip Pullman featuring young detective Sally Lockhart as she confronts a sinister conspiracy in Victorian London.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.