Triple

T28199700
Position Surface form Disambiguated ID Type / Status
Subject Lambert Simnel rebellion E716845 entity
Predicate pretendedIdentity P20150 FINISHED
Object Edward, Earl of Warwick
Edward, Earl of Warwick was a Yorkist noble and nephew of Edward IV whose disputed claim to the English throne made him a focal point of dynastic conspiracies during the early Tudor period.
E1858040 NE FINISHED

How this triple was built (3 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: Edward, Earl of Warwick | Statement: [Lambert Simnel rebellion, pretendedIdentity, Edward, Earl of Warwick]
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: Edward, Earl of Warwick
Triple: [Lambert Simnel rebellion, pretendedIdentity, Edward, Earl of Warwick]
Generated description
Edward, Earl of Warwick was a Yorkist noble and nephew of Edward IV whose disputed claim to the English throne made him a focal point of dynastic conspiracies during the early Tudor period.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pretendedIdentity
Context triple: [Lambert Simnel rebellion, pretendedIdentity, Edward, Earl of Warwick]
  • A. adoptedIdentity
    Indicates that one entity has taken on or assumed the identity, role, or persona of another entity, either formally or informally.
  • B. publicIdentity
    Indicates that an entity’s outward-facing identity or persona is known, presented, or recognized in a public context.
  • C. hasImaginedIdentity
    Indicates that an entity mentally constructs or adopts a non-actual identity, role, or persona for itself or another entity.
  • D. disguisedAs chosen
    Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
  • E. unawareOfTrueIdentityOf
    Indicates that one entity does not know or recognize the real or actual identity of another entity.
  • F. None of above.

Provenance (6 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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f642d40dd081909a2cf60eeb235784 completed May 2, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2588f707148190b72827500a4c7dee completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a258f33e3d081909b817177fe6be30e completed June 7, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a258f8e1638819080500d9c5d777c07 completed June 7, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69f63c6c1a948190b68c0f92c264cc0c completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 10:30 p.m.