Triple

T22090982
Position Surface form Disambiguated ID Type / Status
Subject Cosmic Slop E545910 entity
Predicate segment P889 FINISHED
Object Tang 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: Tang | Statement: [Cosmic Slop, segment, Tang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tang
Context triple: [Cosmic Slop, segment, Tang]
  • A. Tang
    Tang is a common Chinese surname with historical roots and cultural significance across Chinese-speaking communities.
  • B. Tang chosen
    Tang is a powdered fruit-flavored drink mix, best known for its association with NASA’s early space missions and widespread popularity as an instant beverage.
  • C. Tang
    Tang is the ISO 15924 script code representing the historic Tangut writing system used by the Tangut people of the Western Xia dynasty.
  • D. Tang dynasty
    The Tang dynasty was a powerful and culturally flourishing imperial era of China (618–907 CE) renowned for its advances in art, literature, technology, and cosmopolitan trade along the Silk Road.
  • E. Tang (state)
    Tang (state) was an early Zhou Dynasty vassal state in ancient China that played a role in the political landscape preceding the rise of the Jin state.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e53dfc81909858cdad8b09c5fb completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.