Triple

T29258496
Position Surface form Disambiguated ID Type / Status
Subject Pang Juan E741770 entity
Predicate battle P12 FINISHED
Object Battle of Guiling
The Battle of Guiling was a pivotal Warring States period conflict in 354–353 BCE in which the strategist Sun Bin helped the State of Qi defeat the State of Wei, famously rescuing the besieged State of Zhao.
E1923398 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: Battle of Guiling | Statement: [Pang Juan, battle, Battle of Guiling]
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: Battle of Guiling
Triple: [Pang Juan, battle, Battle of Guiling]
Generated description
The Battle of Guiling was a pivotal Warring States period conflict in 354–353 BCE in which the strategist Sun Bin helped the State of Qi defeat the State of Wei, famously rescuing the besieged State of Zhao.

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_69f0912065c08190bddd23e20e8ef18e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f664b054108190957250a7fe02ac99 completed May 2, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863b20330819099d28758d671d671 completed June 9, 2026, 7:04 p.m.
NEDg Description generation batch_6a28665039188190bc740e2c06577120 completed June 9, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a286746f5a081908fd084cfca632960 completed June 9, 2026, 7:19 p.m.
Created at: April 28, 2026, 12:39 p.m.