Triple

T24914694
Position Surface form Disambiguated ID Type / Status
Subject William Douglas, 8th Earl of Douglas E623948 entity
Predicate nobleTitle P914 FINISHED
Object 2nd Earl of Avondale
The 2nd Earl of Avondale was a Scottish noble title in the powerful Douglas family, associated with significant influence in late medieval Scotland.
 E614092 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: 2nd Earl of Avondale | Statement: [William Douglas, 8th Earl of Douglas, nobleTitle, 2nd Earl of Avondale]
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: 2nd Earl of Avondale
Triple: [William Douglas, 8th Earl of Douglas, nobleTitle, 2nd Earl of Avondale]
Generated description
The 2nd Earl of Avondale was a Scottish noble title in the powerful Douglas family, associated with significant influence in late medieval Scotland.

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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4238b91d48190903e57456184af61 completed May 1, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10332e5ae481908d0a2236eb137716 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a1033edb6848190b35070d8784af90e completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a10348fb55c819087a28d4a7280589c completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 5:28 a.m.