Triple

T22402471
Position Surface form Disambiguated ID Type / Status
Subject 100-inch Hooker telescope E553793 entity
Predicate namedAfter P63 FINISHED
Object John Daggett Hooker
John Daggett Hooker was an American businessman and philanthropist best known for funding the construction of the 100-inch Hooker Telescope at Mount Wilson Observatory.
E1904004 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: John Daggett Hooker | Statement: [100-inch Hooker telescope, namedAfter, John Daggett Hooker]
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: John Daggett Hooker
Triple: [100-inch Hooker telescope, namedAfter, John Daggett Hooker]
Generated description
John Daggett Hooker was an American businessman and philanthropist best known for funding the construction of the 100-inch Hooker Telescope at Mount Wilson Observatory.

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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b565c48190b0f6c19f17995b40 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2757c7d1d88190aa97fa19408a2151 completed June 9, 2026, 12:01 a.m.
NEDg Description generation batch_6a275a7d33848190ba11aeb45c7e8b83 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b11987081908ec648ce1eeceed3 completed June 9, 2026, 12:15 a.m.
Created at: April 16, 2026, 8:46 p.m.