Triple

T3250501
Position Surface form Disambiguated ID Type / Status
Subject The Chair E68164 entity
Predicate character P662 FINISHED
Object Joan Hambling
Joan Hambling is a quirky, sharp-tongued academic colleague who provides much of the comic relief and emotional grounding in the television series "The Chair."
 E372886 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 Hambling | Statement: [The Chair, character, Joan Hambling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joan Hambling
Context triple: [The Chair, character, Joan Hambling]
  • A. Helen Taggart
    Helen Taggart was the wife of American architect Lloyd Wright, son of the famed architect Frank Lloyd Wright.
  • B. Margaret Craig
    Margaret Craig is known primarily as the child of William Craig.
  • C. Margaret Robertson
    Margaret Robertson was the wife of Scottish physicist and radar pioneer Sir Robert Watson-Watt.
  • D. Eileen Sherwood
    Eileen Sherwood is a central character in the musical "Wonderful Town," portrayed as a charming, aspiring actress who moves to New York City with her sister to pursue her dreams.
  • E. Val Hoyle
    Val Hoyle is an American Democratic politician and U.S. Representative from Oregon known for her prior service in the Oregon House of Representatives, including as House Majority Leader.
  • 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 Hambling
Triple: [The Chair, character, Joan Hambling]
Generated description
Joan Hambling is a quirky, sharp-tongued academic colleague who provides much of the comic relief and emotional grounding in the television series "The Chair."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joan Hambling
Target entity description: Joan Hambling is a quirky, sharp-tongued academic colleague who provides much of the comic relief and emotional grounding in the television series "The Chair."
  • A. Helen Taggart
    Helen Taggart was the wife of American architect Lloyd Wright, son of the famed architect Frank Lloyd Wright.
  • B. Margaret Craig
    Margaret Craig is known primarily as the child of William Craig.
  • C. Margaret Robertson
    Margaret Robertson was the wife of Scottish physicist and radar pioneer Sir Robert Watson-Watt.
  • D. Eileen Sherwood
    Eileen Sherwood is a central character in the musical "Wonderful Town," portrayed as a charming, aspiring actress who moves to New York City with her sister to pursue her dreams.
  • E. Val Hoyle
    Val Hoyle is an American Democratic politician and U.S. Representative from Oregon known for her prior service in the Oregon House of Representatives, including as House Majority Leader.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ebe354819097a4ddce7355b8db completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b438eeedc48190a7db2459b5ddd564 completed March 13, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69b4394014648190bc03d643a771395c completed March 13, 2026, 4:20 p.m.
Created at: March 8, 2026, 3:09 p.m.