Triple

T32668351
Position Surface form Disambiguated ID Type / Status
Subject Sharon Christa Corrigan E835217 entity
Predicate honorificEponym P12247 FINISHED
Object McAuliffe crater on the Moon
McAuliffe crater on the Moon is a lunar impact crater named in honor of Christa McAuliffe, the teacher-astronaut who died in the Space Shuttle Challenger disaster.
E2017466 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: McAuliffe crater on the Moon | Statement: [Sharon Christa Corrigan, honorificEponym, McAuliffe crater on the Moon]
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: McAuliffe crater on the Moon
Triple: [Sharon Christa Corrigan, honorificEponym, McAuliffe crater on the Moon]
Generated description
McAuliffe crater on the Moon is a lunar impact crater named in honor of Christa McAuliffe, the teacher-astronaut who died in the Space Shuttle Challenger disaster.

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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7aa36f88190b971c98682535c86 completed May 3, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492b985248190966229cb90207f65 completed June 19, 2026, 12:52 a.m.
NEDg Description generation batch_6a3493499a58819095b80fc358562bee completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a34960f294081908b8197b8f527b0cd completed June 19, 2026, 1:06 a.m.
Created at: May 1, 2026, 1:08 a.m.