Triple

T26825556
Position Surface form Disambiguated ID Type / Status
Subject The Dagda E675368 entity
Predicate parentOf P120 FINISHED
Object Midir
Midir is a figure from Irish mythology, often depicted as a powerful and otherworldly lord of the sídhe associated with love, beauty, and the Otherworld.
E1742837 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: Midir | Statement: [The Dagda, parentOf, Midir]
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: Midir
Triple: [The Dagda, parentOf, Midir]
Generated description
Midir is a figure from Irish mythology, often depicted as a powerful and otherworldly lord of the sídhe associated with love, beauty, and the Otherworld.

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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61ad71ed08190899613c277cb24ab completed May 2, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12133aa17c819088c8fcd0003356c1 completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a1213a53f688190a32fa8f033dd5b2d completed May 23, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a1214214ddc81909b216085ad52eab8 completed May 23, 2026, 8:54 p.m.
Created at: April 27, 2026, 4:58 a.m.