Triple

T32421511
Position Surface form Disambiguated ID Type / Status
Subject Tigress E828471 entity
Predicate fightingStyle P35675 FINISHED
Object Tiger Style kung fu
Tiger Style kung fu is a traditional Chinese martial arts style characterized by powerful, aggressive movements that mimic the strength and ferocity of a tiger.
E2006327 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 Style kung fu | Statement: [Tigress, fightingStyle, Tiger Style kung fu]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tiger Style kung fu
Triple: [Tigress, fightingStyle, Tiger Style kung fu]
Generated description
Tiger Style kung fu is a traditional Chinese martial arts style characterized by powerful, aggressive movements that mimic the strength and ferocity of a tiger.

Provenance (5 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_69f3491b28bc8190b75cea7a507f337b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c28269d08190a72a4ca90e219286 completed May 3, 2026, 3:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a344f26753881909bae5c3a867dce5a completed June 18, 2026, 8:03 p.m.
NEDg Description generation batch_6a3450be40708190a12bfb352cd508d0 completed June 18, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a345c04b9c88190b95ae85c88b42f17 completed June 18, 2026, 8:58 p.m.
Created at: May 1, 2026, 12:54 a.m.