Triple

T30011278
Position Surface form Disambiguated ID Type / Status
Subject George Aldrich E762465 entity
Predicate partOf P40 FINISHED
Object NASA contamination control program
The NASA contamination control program is an initiative that develops and enforces stringent cleanliness and materials standards to prevent chemical and particulate contamination of spacecraft, instruments, and mission environments.
E1894628 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: NASA contamination control program | Statement: [George Aldrich, partOf, NASA contamination control program]
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: NASA contamination control program
Triple: [George Aldrich, partOf, NASA contamination control program]
Generated description
The NASA contamination control program is an initiative that develops and enforces stringent cleanliness and materials standards to prevent chemical and particulate contamination of spacecraft, instruments, and mission environments.

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_69f2246b0c84819094f1250b6a02d277 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f679808ed0819084770b0ac96494b1 completed May 2, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a272210f9a08190905215acf0cd8e6f completed June 8, 2026, 8:12 p.m.
NEDg Description generation batch_6a2723349d708190aabfc1578a8e6e3f completed June 8, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2723e6c6648190801fec9c9fd7f557 completed June 8, 2026, 8:19 p.m.
Created at: April 29, 2026, 6:44 p.m.