Triple

T17859344
Position Surface form Disambiguated ID Type / Status
Subject Margaret Tyzack E446024 entity
Predicate familyName P18 FINISHED
Object Tyzack
Tyzack is an English surname most notably associated with acclaimed stage and screen actress Margaret Tyzack.
 E1292850 NE FINISHED

How this triple was built (4 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: Tyzack | Statement: [Margaret Tyzack, familyName, Tyzack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyzack
Context triple: [Margaret Tyzack, familyName, Tyzack]
  • A. Ryall
    Ryall is a surname of English origin borne by various notable individuals across different fields.
  • B. Todwick
    Todwick is a small village and civil parish in South Yorkshire, England, known for its rural character and proximity to larger former mining communities.
  • C. Zayton
    Zayton is the historical name used by medieval Arab and European traders for the major Chinese port city of Quanzhou, once one of the world’s busiest maritime trade centers.
  • D. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • E. Rulten
    Rulten is a prominent mountain peak on the Norwegian island of Austvågøy in the Lofoten archipelago.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tyzack
Triple: [Margaret Tyzack, familyName, Tyzack]
Generated description
Tyzack is an English surname most notably associated with acclaimed stage and screen actress Margaret Tyzack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyzack
Target entity description: Tyzack is an English surname most notably associated with acclaimed stage and screen actress Margaret Tyzack.
  • A. Ryall
    Ryall is a surname of English origin borne by various notable individuals across different fields.
  • B. Todwick
    Todwick is a small village and civil parish in South Yorkshire, England, known for its rural character and proximity to larger former mining communities.
  • C. Zayton
    Zayton is the historical name used by medieval Arab and European traders for the major Chinese port city of Quanzhou, once one of the world’s busiest maritime trade centers.
  • D. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • E. Rulten
    Rulten is a prominent mountain peak on the Norwegian island of Austvågøy in the Lofoten archipelago.
  • F. None of above. chosen

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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978f34948190a25deb4fd617ad72 completed April 19, 2026, 8:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c640bb881909fea3f07e5a30f7a completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a03102824a081909f7e6253f067f9ec completed May 12, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0310bc396881908988dd6e776ecc23 completed May 12, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:17 a.m.