Triple

T28233809
Position Surface form Disambiguated ID Type / Status
Subject 白起 E711824 entity
Predicate position P8 FINISHED
Object 秦国上将军
秦国上将军是战国时期秦国军队的最高统帅军职之一，掌管全国军事行动与战略决策。
 E1812362 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: 秦国上将军 | Statement: [白起, position, 秦国上将军]
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: 秦国上将军
Triple: [白起, position, 秦国上将军]
Generated description
秦国上将军是战国时期秦国军队的最高统帅军职之一，掌管全国军事行动与战略决策。

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_69efb51ece308190b8c269a057e36652 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6438ba610819081543ffa43c5824c completed May 2, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16070f3f0c8190bf048d2c5240f8cf completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a1613bfd9bc8190a976e350dc9373d7 completed May 26, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a1614dc78b48190a1a5d5832b7fa518 completed May 26, 2026, 9:47 p.m.
Created at: April 27, 2026, 10:53 p.m.