Triple

T36898982
Position Surface form Disambiguated ID Type / Status
Subject Sandage–Loeb test E911976 entity
Predicate alsoKnownAs P39 FINISHED
Object redshift drift test
The redshift drift test is a proposed cosmological observation method that measures tiny changes in the redshifts of distant objects over time to directly probe the universe’s expansion history and distinguish between cosmological models.
 E2202205 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: redshift drift test | Statement: [Sandage–Loeb test, alsoKnownAs, redshift drift test]
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: redshift drift test
Triple: [Sandage–Loeb test, alsoKnownAs, redshift drift test]
Generated description
The redshift drift test is a proposed cosmological observation method that measures tiny changes in the redshifts of distant objects over time to directly probe the universe’s expansion history and distinguish between cosmological models.

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_69f76e841b54819097e7fa768bbc70b2 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd927e2c8190ae0b48443bdea664 completed May 5, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfafa767481908f189cef43e67d16 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3dfd5aa9788190af71bb5c6a7af107 completed June 26, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3e02af021481908d97618a61ce8d54 completed June 26, 2026, 4:40 a.m.
Created at: May 3, 2026, 4:13 p.m.