Triple

T35773453
Position Surface form Disambiguated ID Type / Status
Subject John, Count of Mortain E1034227 entity
Predicate alsoKnownAs P39 FINISHED
Object John Plantagenet
John Plantagenet was King John of England, the Plantagenet monarch whose reign (1199–1216) is most associated with the sealing of Magna Carta and conflicts with his barons and France.
E2160254 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: John Plantagenet | Statement: [John, Count of Mortain, alsoKnownAs, John Plantagenet]
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: John Plantagenet
Triple: [John, Count of Mortain, alsoKnownAs, John Plantagenet]
Generated description
John Plantagenet was King John of England, the Plantagenet monarch whose reign (1199–1216) is most associated with the sealing of Magna Carta and conflicts with his barons and France.

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_69f76e14a1e081908eddd57bd6fdb3be completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1f927d08190bd236e0afb3d2bcb completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4d777e881909fa0299de1dd7754 completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a59a0184819080e951c76a48eb0c completed June 22, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a38a63caecc8190a4ac4eb8af4bb18b completed June 22, 2026, 3:04 a.m.
Created at: May 3, 2026, 4:06 p.m.