Triple

T34516600
Position Surface form Disambiguated ID Type / Status
Subject Henry Street (Dublin) E886167 entity
Predicate hasNameOrigin P3325 FINISHED
Object Henry Moore, 1st Earl of Drogheda
Henry Moore, 1st Earl of Drogheda, was a 17th-century Anglo-Irish nobleman and politician who held significant estates and influence in Ireland.
E2100341 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: Henry Moore, 1st Earl of Drogheda | Statement: [Henry Street (Dublin), hasNameOrigin, Henry Moore, 1st Earl of Drogheda]
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: Henry Moore, 1st Earl of Drogheda
Triple: [Henry Street (Dublin), hasNameOrigin, Henry Moore, 1st Earl of Drogheda]
Generated description
Henry Moore, 1st Earl of Drogheda, was a 17th-century Anglo-Irish nobleman and politician who held significant estates and influence in 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_69f349ccc290819089d8e82698e53cb6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71f94841c8190bccf9096d591fc04 completed May 3, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729e15a788190b7ffba7044d50616 completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372a47f6a88190af8922a3af8c5eba completed June 21, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a372acf6ce48190bec089a269da1194 completed June 21, 2026, 12:05 a.m.
Created at: May 1, 2026, 2:01 a.m.