Triple

T10090310
Position Surface form Disambiguated ID Type / Status
Subject Hazel Court E215324 entity
Predicate familyName P18 FINISHED
Object Court
Court is a common English surname of Norman origin, often associated with families historically linked to manorial courts or residences.
 E840923 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: Court | Statement: [Hazel Court, familyName, Court]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Court
Context triple: [Hazel Court, familyName, Court]
  • A. Court
    Court is a critically acclaimed Marathi-language courtroom drama film that explores the injustices and bureaucratic absurdities of the Indian legal system.
  • B. Court Kitchen
    Court Kitchen was the specialized culinary department of the Russian Imperial Court responsible for preparing and serving food to the tsar and the royal household.
  • C. Law Court
    Law Court is the common name for the Maine Supreme Judicial Court, the highest appellate court in the state of Maine.
  • D. Court TV
    Court TV is a U.S. television network focused on live trial coverage and legal-themed programming.
  • E. Court Circular
    The Court Circular is the official daily record of the British monarch’s and royal family’s public engagements and activities, published as part of the royal household’s communications.
  • 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: Court
Triple: [Hazel Court, familyName, Court]
Generated description
Court is a common English surname of Norman origin, often associated with families historically linked to manorial courts or residences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Court
Target entity description: Court is a common English surname of Norman origin, often associated with families historically linked to manorial courts or residences.
  • A. Court
    Court is a critically acclaimed Marathi-language courtroom drama film that explores the injustices and bureaucratic absurdities of the Indian legal system.
  • B. Court Kitchen
    Court Kitchen was the specialized culinary department of the Russian Imperial Court responsible for preparing and serving food to the tsar and the royal household.
  • C. Law Court
    Law Court is the common name for the Maine Supreme Judicial Court, the highest appellate court in the state of Maine.
  • D. Court TV
    Court TV is a U.S. television network focused on live trial coverage and legal-themed programming.
  • E. Court Circular
    The Court Circular is the official daily record of the British monarch’s and royal family’s public engagements and activities, published as part of the royal household’s communications.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:01 p.m.