Triple

T26030673
Position Surface form Disambiguated ID Type / Status
Subject Tran Thai Tong E647422 entity
Predicate predecessor P97 FINISHED
Object Ly Chieu Hoang
Ly Chieu Hoang was the last monarch of Vietnam’s Ly dynasty and the only reigning empress regnant in Vietnamese history, whose abdication enabled the rise of the Tran dynasty.
E1772843 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: Ly Chieu Hoang | Statement: [Tran Thai Tong, predecessor, Ly Chieu Hoang]
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: Ly Chieu Hoang
Triple: [Tran Thai Tong, predecessor, Ly Chieu Hoang]
Generated description
Ly Chieu Hoang was the last monarch of Vietnam’s Ly dynasty and the only reigning empress regnant in Vietnamese history, whose abdication enabled the rise of the Tran dynasty.

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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605efbc1c81908d1137f310d781ad completed May 2, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b211e5208190a34e67c31137dea4 completed May 24, 2026, 8:08 a.m.
NEDg Description generation batch_6a12b2abccec8190bc743e40272e9ce7 completed May 24, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a12b37ffce481909ef1f0f1f552af2f completed May 24, 2026, 8:14 a.m.
Created at: April 22, 2026, 9:06 a.m.