Triple

T26179358
Position Surface form Disambiguated ID Type / Status
Subject Clan Scott E654629 entity
Predicate hasClanSociety P1915 FINISHED
Object Clan Scott Society
Clan Scott Society is an organization dedicated to preserving and promoting the heritage, history, and traditions of the Scottish Clan Scott and its descendants worldwide.
E1710628 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: Clan Scott Society | Statement: [Clan Scott, hasClanSociety, Clan Scott Society]
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: Clan Scott Society
Triple: [Clan Scott, hasClanSociety, Clan Scott Society]
Generated description
Clan Scott Society is an organization dedicated to preserving and promoting the heritage, history, and traditions of the Scottish Clan Scott and its descendants worldwide.

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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c6e0768819088a0a5dd82390c09 completed May 2, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11277fda8081908cf20e81384a3d3b completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a1153e7bfa88190af210098e00a6087 completed May 23, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a11554ea8688190967d3bd784b4b74c completed May 23, 2026, 7:20 a.m.
Created at: April 26, 2026, 8:39 p.m.