Triple

T18601085
Position Surface form Disambiguated ID Type / Status
Subject Donovan Philips Leitch E454619 entity
Predicate spouse P13 FINISHED
Object Linda Lawrence
Linda Lawrence is a British former model best known as the longtime wife and muse of singer-songwriter Donovan.
E1649721 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: Linda Lawrence | Statement: [Donovan Philips Leitch, spouse, Linda Lawrence]
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: Linda Lawrence
Triple: [Donovan Philips Leitch, spouse, Linda Lawrence]
Generated description
Linda Lawrence is a British former model best known as the longtime wife and muse of singer-songwriter Donovan.

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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5475112608190acacc5ac7a08c4a0 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a101bc12108819096423d21e6d438a3 completed May 22, 2026, 9:02 a.m.
NEDg Description generation batch_6a102367c6e0819092a483e21fc5cc6c completed May 22, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a10243c77748190a556b0e26d9a2a1c completed May 22, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:45 a.m.