Triple

T37105336
Position Surface form Disambiguated ID Type / Status
Subject 6489 Golevka E918824 entity
Predicate discoveredBy P412 FINISHED
Object Kenneth J. Lawrence
Kenneth J. Lawrence is an American astronomer known for his discovery of the near-Earth asteroid 6489 Golevka and contributions to minor planet research.
 E2293911 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: Kenneth J. Lawrence | Statement: [6489 Golevka, discoveredBy, Kenneth J. Lawrence]
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: Kenneth J. Lawrence
Triple: [6489 Golevka, discoveredBy, Kenneth J. Lawrence]
Generated description
Kenneth J. Lawrence is an American astronomer known for his discovery of the near-Earth asteroid 6489 Golevka and contributions to minor planet research.

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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2ff27ed481909fda7cb1b8d518de completed May 6, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b5458af808190b771a40a5582aea0 completed Aug. 11, 2026, 4:56 p.m.
NEDg Description generation batch_6a7b54cbc730819080958a1e8f8bcd0e completed Aug. 11, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_6a7b5556eddc8190acbce80c626510ec completed Aug. 11, 2026, 5:01 p.m.
Created at: May 3, 2026, 4:14 p.m.