Triple

T32147810
Position Surface form Disambiguated ID Type / Status
Subject Emily Austin Perry E821068 entity
Predicate residence P75 FINISHED
Object Peach Point Plantation
Peach Point Plantation was a historic Texas plantation estate closely associated with the family of early settler Emily Austin Perry, sister of Stephen F. Austin.
E1994241 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: Peach Point Plantation | Statement: [Emily Austin Perry, residence, Peach Point Plantation]
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: Peach Point Plantation
Triple: [Emily Austin Perry, residence, Peach Point Plantation]
Generated description
Peach Point Plantation was a historic Texas plantation estate closely associated with the family of early settler Emily Austin Perry, sister of Stephen F. Austin.

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_69f3490520d081909b2f1271dab75faa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b9e567908190abe980a80db9a7af completed May 3, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f014463f88190b2c663aedc6ac666 completed June 14, 2026, 7:30 p.m.
NEDg Description generation batch_6a2f0554eb7c819090a9ba44a57ff4c9 completed June 14, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_6a2f05eeeb808190ad316b4eb5eb6405 completed June 14, 2026, 7:50 p.m.
Created at: May 1, 2026, 12:31 a.m.