Triple

T33829472
Position Surface form Disambiguated ID Type / Status
Subject Helix Nebula E867056 entity
Predicate discoveredBy P412 FINISHED
Object Karl Ludwig Harding
Karl Ludwig Harding was a German astronomer best known for his early 19th-century discoveries of celestial objects, including the asteroid Juno and several notable nebulae.
E2069759 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: Karl Ludwig Harding | Statement: [Helix Nebula, discoveredBy, Karl Ludwig Harding]
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: Karl Ludwig Harding
Triple: [Helix Nebula, discoveredBy, Karl Ludwig Harding]
Generated description
Karl Ludwig Harding was a German astronomer best known for his early 19th-century discoveries of celestial objects, including the asteroid Juno and several notable nebulae.

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_69f34991dd248190a659541588506b3c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7002143188190aed5ea871608fbc5 completed May 3, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366ea46778819081a6f9efef2d5f91 completed June 20, 2026, 10:42 a.m.
NEDg Description generation batch_6a366f2eab708190a7ab0579a49a7627 completed June 20, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a3670cc13ec8190975f7d3bc74eb00f completed June 20, 2026, 10:51 a.m.
Created at: May 1, 2026, 1:46 a.m.