Triple

T9493731
Position Surface form Disambiguated ID Type / Status
Subject Dame Sian Elias E228953 entity
Predicate givenName P17 FINISHED
Object Sian
Sian is the given name of Dame Sian Elias, a prominent New Zealand jurist who served as the country’s first female Chief Justice.
E802291 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: Sian | Statement: [Dame Sian Elias, givenName, Sian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sian
Context triple: [Dame Sian Elias, givenName, Sian]
  • A. Rhiannon Williams
    Rhiannon Williams is a daughter of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
  • B. Catriona
    Catriona is a feminine given name of Gaelic origin, commonly used in Scotland and Ireland and often considered a variant of Katherine.
  • C. Catriona
    Catriona is a historical adventure novel by Robert Louis Stevenson that continues the story begun in Kidnapped, following David Balfour’s further trials and romance in 18th-century Scotland and the Netherlands.
  • D. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • E. Saniyya Sidney
    Saniyya Sidney is an American actress known for her acclaimed performances in films like "Fences" and "Hidden Figures" and the TV series "The Passage."
  • 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: Sian
Triple: [Dame Sian Elias, givenName, Sian]
Generated description
Sian is the given name of Dame Sian Elias, a prominent New Zealand jurist who served as the country’s first female Chief Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sian
Target entity description: Sian is the given name of Dame Sian Elias, a prominent New Zealand jurist who served as the country’s first female Chief Justice.
  • A. Rhiannon Williams
    Rhiannon Williams is a daughter of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
  • B. Catriona
    Catriona is a feminine given name of Gaelic origin, commonly used in Scotland and Ireland and often considered a variant of Katherine.
  • C. Catriona
    Catriona is a historical adventure novel by Robert Louis Stevenson that continues the story begun in Kidnapped, following David Balfour’s further trials and romance in 18th-century Scotland and the Netherlands.
  • D. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • E. Saniyya Sidney
    Saniyya Sidney is an American actress known for her acclaimed performances in films like "Fences" and "Hidden Figures" and the TV series "The Passage."
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95e8c8908190950e1130f9612823 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d2e2a64819097d87b3cf304f036 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12e20f4ac8190bd6aef228f13689e completed April 4, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69d12eae212481908f2136966fca8df5 completed April 4, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:56 p.m.