Triple

T28845586
Position Surface form Disambiguated ID Type / Status
Subject Jing Ke E728444 entity
Predicate hasCanonicalStoryElement P192368 FINISHED
Object bringing the severed head of a Qin traitor as a pretext for audience LITERAL FINISHED

How this triple was built (1 step)

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: bringing the severed head of a Qin traitor as a pretext for audience | Statement: [Jing Ke, hasCanonicalStoryElement, bringing the severed head of a Qin traitor as a pretext for audience]

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69fd0a40703481909ada8db812109499 completed May 7, 2026, 9:55 p.m.
Created at: April 28, 2026, 6:42 a.m.