Triple

T17216706
Position Surface form Disambiguated ID Type / Status
Subject Communication Problems E417870 entity
Predicate featuresActor P15562 FINISHED
Object Joan Sanderson
Joan Sanderson was a British character actress best known for her comic roles on stage and in television sitcoms during the mid-20th century.
E1326266 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: Joan Sanderson | Statement: [Communication Problems, featuresActor, Joan Sanderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Sanderson
Context triple: [Communication Problems, featuresActor, Joan Sanderson]
  • A. Janet Sanderson
    Janet Sanderson was the wife of British geologist Charles Lapworth, noted mainly in historical records for her marriage to him.
  • B. Sandy Woodward
    Sandy Woodward was a British Royal Navy admiral best known for commanding the UK task force during the 1982 Falklands War.
  • C. Joan Sands
    Joan Sands was the wife of American comedian and actor Phil Silvers.
  • D. Sandy Furness
    Sandy Furness is a powerful media and entertainment mogul in the TV series "Succession," known as a long-time business rival and adversary of Logan Roy.
  • E. Joan Murray
    Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
  • 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: Joan Sanderson
Triple: [Communication Problems, featuresActor, Joan Sanderson]
Generated description
Joan Sanderson was a British character actress best known for her comic roles on stage and in television sitcoms during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joan Sanderson
Target entity description: Joan Sanderson was a British character actress best known for her comic roles on stage and in television sitcoms during the mid-20th century.
  • A. Janet Sanderson
    Janet Sanderson was the wife of British geologist Charles Lapworth, noted mainly in historical records for her marriage to him.
  • B. Sandy Woodward
    Sandy Woodward was a British Royal Navy admiral best known for commanding the UK task force during the 1982 Falklands War.
  • C. Joan Sands
    Joan Sands was the wife of American comedian and actor Phil Silvers.
  • D. Sandy Furness
    Sandy Furness is a powerful media and entertainment mogul in the TV series "Succession," known as a long-time business rival and adversary of Logan Roy.
  • E. Joan Murray
    Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dda6e6c81908dd96f653cd2cba0 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a043f0c431881909dc033b16cee1634 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04407a51608190ba78d2c5337dd13f completed May 13, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a04412ce3d481909044236be107de8d completed May 13, 2026, 9:15 a.m.
Created at: April 10, 2026, 5:38 a.m.