Triple

T8066499
Position Surface form Disambiguated ID Type / Status
Subject King Kaolie of Chu E188255 entity
Predicate posthumousName P744 FINISHED
Object Kaolie
Kaolie was a monarch of the ancient Chinese state of Chu during the Warring States period, remembered primarily through historical records that preserve his posthumous title.
E709532 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: Kaolie | Statement: [King Kaolie of Chu, posthumousName, Kaolie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaolie
Context triple: [King Kaolie of Chu, posthumousName, Kaolie]
  • A. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • B. Koloa Talake
    Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
  • C. Kolis
    The Kolis are a prominent fishing and agrarian community of western India, particularly associated with coastal and riverine regions.
  • D. Kolane
    Kolane is a small municipality located within Zadar County in Croatia.
  • E. Kala
    Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
  • 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: Kaolie
Triple: [King Kaolie of Chu, posthumousName, Kaolie]
Generated description
Kaolie was a monarch of the ancient Chinese state of Chu during the Warring States period, remembered primarily through historical records that preserve his posthumous title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaolie
Target entity description: Kaolie was a monarch of the ancient Chinese state of Chu during the Warring States period, remembered primarily through historical records that preserve his posthumous title.
  • A. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • B. Koloa Talake
    Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
  • C. Kolis
    The Kolis are a prominent fishing and agrarian community of western India, particularly associated with coastal and riverine regions.
  • D. Kolane
    Kolane is a small municipality located within Zadar County in Croatia.
  • E. Kala
    Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e1ed44819083ed9db6c9d7b0fd completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651c5f788190908c6d84c58cba0f completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc6649d2348190996802140b455348 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:26 p.m.