Triple

T26708528
Position Surface form Disambiguated ID Type / Status
Subject Myiagra E673344 entity
Predicate includesSpecies P10920 FINISHED
Object Myiagra vanikorensis
Myiagra vanikorensis, commonly known as the Vanikoro flycatcher, is a small insectivorous bird of the monarch flycatcher family found in parts of the southwest Pacific.
 E1755863 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: Myiagra vanikorensis | Statement: [Myiagra, includesSpecies, Myiagra vanikorensis]
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: Myiagra vanikorensis
Triple: [Myiagra, includesSpecies, Myiagra vanikorensis]
Generated description
Myiagra vanikorensis, commonly known as the Vanikoro flycatcher, is a small insectivorous bird of the monarch flycatcher family found in parts of the southwest Pacific.

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_69eecda3a22881908f3061c760b9d542 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f617bcfbb0819092a1334dc7553a97 completed May 2, 2026, 3:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247dbd09c81908d11c4e64baec8c4 completed May 24, 2026, 12:35 a.m.
NEDg Description generation batch_6a1248569490819085cd93e8cf9bf014 completed May 24, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a1248d46e28819096dc8167c0a5bc46 completed May 24, 2026, 12:39 a.m.
Created at: April 27, 2026, 3:35 a.m.