Triple

T33945735
Position Surface form Disambiguated ID Type / Status
Subject Fulford family E870284 entity
Predicate member P10 FINISHED
Object Mary Wilder White Fulford
Mary Wilder White Fulford was a member of the prominent Fulford family, known for her role within this historically notable lineage.
 E2075949 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: Mary Wilder White Fulford | Statement: [Fulford family, member, Mary Wilder White Fulford]
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: Mary Wilder White Fulford
Triple: [Fulford family, member, Mary Wilder White Fulford]
Generated description
Mary Wilder White Fulford was a member of the prominent Fulford family, known for her role within this historically notable lineage.

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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f702685348819091bdcc1adfbe332c completed May 3, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689d9741881909a244f3239f4cdbe completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368ad529048190a9df0ec57fee4c3f completed June 20, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a368bacdae48190819446ae98dfa7c3 completed June 20, 2026, 12:46 p.m.
Created at: May 1, 2026, 1:49 a.m.