Triple

T31949676
Position Surface form Disambiguated ID Type / Status
Subject Huangdi Neijing E815745 entity
Predicate associatedWith P37 FINISHED
Object Yellow Emperor
The Yellow Emperor is a legendary sovereign in Chinese mythology revered as a cultural hero and foundational figure in Chinese civilization, often credited with originating key aspects of governance, technology, and medicine.
E291783 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: Yellow Emperor | Statement: [Huangdi Neijing, associatedWith, Yellow Emperor]
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: Yellow Emperor
Triple: [Huangdi Neijing, associatedWith, Yellow Emperor]
Generated description
The Yellow Emperor is a legendary sovereign in Chinese mythology revered as a cultural hero and foundational figure in Chinese civilization, often credited with originating key aspects of governance, technology, and medicine.

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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2a905d081909cf5fbedd1181a1a completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a4a3edc8190a5aa36941b73df9d completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8af50dc08190bbc5f3e04528b335 completed June 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2ea6a967dc8190af1d4e84ed34013b completed June 14, 2026, 1:03 p.m.
Created at: May 1, 2026, 12:07 a.m.