Triple

T22448138
Position Surface form Disambiguated ID Type / Status
Subject Gunpowder E554916 entity
Predicate starring P1507 FINISHED
Object Sian Webber
Sian Webber is a British actress known for her work in television dramas, including a role in the historical series "Gunpowder."
E1536655 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 Webber | Statement: [Gunpowder, starring, Sian Webber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sian Webber
Context triple: [Gunpowder, starring, Sian Webber]
  • A. Sian Clifford
    Sian Clifford is a British actress best known for her BAFTA-winning role as Claire in the acclaimed television series "Fleabag."
  • B. Sian Berry
    Sian Berry is a British Green Party politician and environmental campaigner who has served as a London Assembly Member and multiple-time London mayoral candidate.
  • C. Gemma Whelan
    Gemma Whelan is a British actress and comedian best known for playing Yara Greyjoy in the television series "Game of Thrones."
  • D. Sian Lovell
    Sian Lovell is a distinguished geoscientist recognized for her significant contributions to the Earth sciences, as evidenced by her receipt of the prestigious William Smith Medal.
  • E. Sarah Wenham
    Sarah Wenham is a central character in the supernatural horror film "The Covenant," drawn into the dangerous world of a secretive group of teenage warlocks and their inherited powers.
  • 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 Webber
Triple: [Gunpowder, starring, Sian Webber]
Generated description
Sian Webber is a British actress known for her work in television dramas, including a role in the historical series "Gunpowder."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sian Webber
Target entity description: Sian Webber is a British actress known for her work in television dramas, including a role in the historical series "Gunpowder."
  • A. Sian Clifford
    Sian Clifford is a British actress best known for her BAFTA-winning role as Claire in the acclaimed television series "Fleabag."
  • B. Sian Berry
    Sian Berry is a British Green Party politician and environmental campaigner who has served as a London Assembly Member and multiple-time London mayoral candidate.
  • C. Gemma Whelan
    Gemma Whelan is a British actress and comedian best known for playing Yara Greyjoy in the television series "Game of Thrones."
  • D. Sian Lovell
    Sian Lovell is a distinguished geoscientist recognized for her significant contributions to the Earth sciences, as evidenced by her receipt of the prestigious William Smith Medal.
  • E. Sarah Wenham
    Sarah Wenham is a central character in the supernatural horror film "The Covenant," drawn into the dangerous world of a secretive group of teenage warlocks and their inherited powers.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b48be0481909f4601b732424e5b completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c7640fc8190a2dd1643a7c2a5b0 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0cd3f7bc8190bdc1e241ea1c642f completed May 18, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0d40e0c8819083a430e30dba1848 completed May 18, 2026, 12:59 p.m.
Created at: April 16, 2026, 8:48 p.m.