Triple

T23617628
Position Surface form Disambiguated ID Type / Status
Subject Candace Holloway E583218 entity
Predicate partOf P40 FINISHED
Object the Lyon family (extended)
The Lyon family (extended) is a broader kinship network surrounding the central Lyon clan, encompassing relatives by blood and marriage who are connected to the family’s legacy and affairs.
E533330 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: the Lyon family (extended) | Statement: [Candace Holloway, partOf, the Lyon family (extended)]
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: the Lyon family (extended)
Triple: [Candace Holloway, partOf, the Lyon family (extended)]
Generated description
The Lyon family (extended) is a broader kinship network surrounding the central Lyon clan, encompassing relatives by blood and marriage who are connected to the family’s legacy and affairs.

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_69e248fbcd9081908ba08913f9d30826 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b175b2208190a78e1d4aac191709 completed April 29, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f9625ca088190add0140f422cbb95 completed May 21, 2026, 11:32 p.m.
NEDg Description generation batch_6a0f9802d1bc8190b3f47810e29ef246 completed May 21, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0f992af65c819085d30795965384cb completed May 21, 2026, 11:45 p.m.
Created at: April 17, 2026, 6:45 p.m.