Triple

T37250330
Position Surface form Disambiguated ID Type / Status
Subject Natalie Appleton E923969 entity
Predicate child P120 FINISHED
Object Rachel Appleton
Rachel Appleton is the daughter of Canadian-born British singer Natalie Appleton, a member of the pop group All Saints.
E2220401 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: Rachel Appleton | Statement: [Natalie Appleton, child, Rachel Appleton]
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: Rachel Appleton
Triple: [Natalie Appleton, child, Rachel Appleton]
Generated description
Rachel Appleton is the daughter of Canadian-born British singer Natalie Appleton, a member of the pop group All Saints.

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_69f76eaabb4c819093b751b139dad551 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb36fed25081908ef58bb8ca1b705d completed May 6, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a405126c1dc819083d0235b1d3de417 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a40524ea5e48190905a1475417546a7 completed June 27, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a4052c19cdc8190afb2e5e3f9374eaa completed June 27, 2026, 10:46 p.m.
Created at: May 3, 2026, 4:15 p.m.