Triple

T29799214
Position Surface form Disambiguated ID Type / Status
Subject Fergus Mac-Ivor E756644 entity
Predicate associatedWith P37 FINISHED
Object Clan Mac-Ivor
Clan Mac-Ivor is a fictional Scottish Highland clan featured in Sir Walter Scott’s novel "Waverley," known for its Jacobite loyalties and its chieftain Fergus Mac-Ivor.
E2256062 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 Mac-Ivor | Statement: [Fergus Mac-Ivor, associatedWith, Clan Mac-Ivor]
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 Mac-Ivor
Triple: [Fergus Mac-Ivor, associatedWith, Clan Mac-Ivor]
Generated description
Clan Mac-Ivor is a fictional Scottish Highland clan featured in Sir Walter Scott’s novel "Waverley," known for its Jacobite loyalties and its chieftain Fergus Mac-Ivor.

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_69f22454583081908927516cb9938d1d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f674e861f08190a85ab46799e50c74 completed May 2, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4167e7a2748190aafbfc3822014404 completed June 28, 2026, 6:28 p.m.
NEDg Description generation batch_6a416975c0548190bad35fe6eea691d0 completed June 28, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_6a416ad682e48190b3d209a23e90f843 completed June 28, 2026, 6:41 p.m.
Created at: April 29, 2026, 5:17 p.m.