Triple

T29315787
Position Surface form Disambiguated ID Type / Status
Subject Republic City E743371 entity
Predicate headOfGovernment P307 FINISHED
Object President Zhu Li Moon
President Zhu Li Moon is the technologically savvy and highly competent leader of Republic City in The Legend of Korra universe, known for her transition from loyal assistant to decisive head of state.
E1861000 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: President Zhu Li Moon | Statement: [Republic City, headOfGovernment, President Zhu Li Moon]
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: President Zhu Li Moon
Triple: [Republic City, headOfGovernment, President Zhu Li Moon]
Generated description
President Zhu Li Moon is the technologically savvy and highly competent leader of Republic City in The Legend of Korra universe, known for her transition from loyal assistant to decisive head of state.

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_69f0912502c8819087d9e8398ee991a8 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665ec3ee481909ae35e76899a7056 completed May 2, 2026, 9 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a86dfe248190aab018f50488a7e4 completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25aca216088190b6e106c9172f638c completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b1426d488190b7d2a0546ab29f59 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 1:19 p.m.