Triple

T18698623
Position Surface form Disambiguated ID Type / Status
Subject Kaihuang E457186 entity
Predicate precedes P97 FINISHED
Object Renshou
Renshou was a reign era of the Sui dynasty in China, associated with Emperor Wen’s rule in the early 7th century.
 E1338971 NE FINISHED

How this triple was built (4 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: Renshou | Statement: [Kaihuang, precedes, Renshou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Renshou
Context triple: [Kaihuang, precedes, Renshou]
  • A. Tenryaku
    Tenryaku was a Japanese era of the mid-Heian period, notable for its association with Emperor Murakami’s reign.
  • B. Shōryaku
    Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
  • C. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • D. Ryojun
    Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
  • E. Gishin
    Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Renshou
Triple: [Kaihuang, precedes, Renshou]
Generated description
Renshou was a reign era of the Sui dynasty in China, associated with Emperor Wen’s rule in the early 7th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Renshou
Target entity description: Renshou was a reign era of the Sui dynasty in China, associated with Emperor Wen’s rule in the early 7th century.
  • A. Tenryaku
    Tenryaku was a Japanese era of the mid-Heian period, notable for its association with Emperor Murakami’s reign.
  • B. Shōryaku
    Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
  • C. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • D. Ryojun
    Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
  • E. Gishin
    Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
  • F. None of above. chosen

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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e984988190ae902d41edd8faff completed April 19, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b34a8108190a612e5334efb123c completed May 14, 2026, 1:53 a.m.
NEDg Description generation batch_6a052cf643b48190b40115e6e3b8cb81 completed May 14, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_6a052e457dac8190a1160def70faad6e completed May 14, 2026, 2:07 a.m.
Created at: April 10, 2026, 11:49 a.m.