Triple

T27917160
Position Surface form Disambiguated ID Type / Status
Subject Cerylinae E706104 entity
Predicate includesSpecies P10920 FINISHED
Object American pygmy kingfisher
The American pygmy kingfisher is a tiny, brightly colored New World kingfisher found near streams and mangroves from southern Mexico through much of South America.
 E1804899 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: American pygmy kingfisher | Statement: [Cerylinae, includesSpecies, American pygmy kingfisher]
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: American pygmy kingfisher
Triple: [Cerylinae, includesSpecies, American pygmy kingfisher]
Generated description
The American pygmy kingfisher is a tiny, brightly colored New World kingfisher found near streams and mangroves from southern Mexico through much of South America.

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_69ef96b6cc808190aab19fb18b235f4b completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a2bd8448190b957c666e1e14a5b completed May 2, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d78261f88190aec4a24081460fc6 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15d96fc5948190b287468b3a1e46de completed May 26, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_6a15d9dd60b88190a4c74a6f7cd1217e completed May 26, 2026, 5:35 p.m.
Created at: April 27, 2026, 6:54 p.m.