Triple

T16834695
Position Surface form Disambiguated ID Type / Status
Subject Furious Five motif E409242 entity
Predicate associatedWith P37 FINISHED
Object Tigress E683352 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: Tigress | Statement: [Furious Five motif, associatedWith, Tigress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigress
Context triple: [Furious Five motif, associatedWith, Tigress]
  • A. Tigress chosen
    Tigress is a fierce and disciplined kung fu master of the Furious Five in the Kung Fu Panda film series, known for her strength, loyalty, and stoic demeanor.
  • B. Tig
    Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
  • C. Tig
    Tig is a deity in Germanic mythology cognate with the Norse god Týr, associated with war, law, and heroic honor.
  • D. Tiger
    The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
  • E. Tiger
    Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a4101081908faa1b85d338b05e completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.