Triple

T37763898
Position Surface form Disambiguated ID Type / Status
Subject James Butler, 9th Earl of Ormond E941359 entity
Predicate nobleTitle P914 FINISHED
Object 9th Earl of Ormond
The 9th Earl of Ormond was an Irish noble title in the Butler dynasty, associated with significant political influence and extensive estates in late medieval and early modern Ireland.
E2244818 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: 9th Earl of Ormond | Statement: [James Butler, 9th Earl of Ormond, nobleTitle, 9th Earl of Ormond]
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: 9th Earl of Ormond
Triple: [James Butler, 9th Earl of Ormond, nobleTitle, 9th Earl of Ormond]
Generated description
The 9th Earl of Ormond was an Irish noble title in the Butler dynasty, associated with significant political influence and extensive estates in late medieval and early modern Ireland.

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_69f76ee3251881909bb4451aad50752b completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaf18c6cc8190856dbeb5d93b6013 completed May 6, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb705868819095d4eac00b827705 completed June 28, 2026, 10:46 a.m.
NEDg Description generation batch_6a40fc247b7081908d545d61ba115664 completed June 28, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a40fca727148190bf102c874b747b38 completed June 28, 2026, 10:51 a.m.
Created at: May 3, 2026, 4:19 p.m.