Triple

T19115487
Position Surface form Disambiguated ID Type / Status
Subject Anne Fairfax E467895 entity
Predicate givenName P17 FINISHED
Object Anne
Anne is a feminine given name of Hebrew origin, commonly associated with grace and widely used in English-speaking countries.
E267026 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: Anne | Statement: [Anne Fairfax, givenName, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne
Context triple: [Anne Fairfax, givenName, Anne]
  • A. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • B. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • C. Anne
    Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
  • D. Anne
    Anne is a given name used by Princess Marianne of Prussia, a 19th-century Prussian royal.
  • E. Anne
    Anne is the given name of Lady Anne Temple, a historical noblewoman likely associated with the British aristocracy.
  • 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: Anne
Triple: [Anne Fairfax, givenName, Anne]
Generated description
Anne is a feminine given name of Hebrew origin, commonly associated with grace and widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne
Target entity description: Anne is a feminine given name of Hebrew origin, commonly associated with grace and widely used in English-speaking countries.
  • A. Anne chosen
    Anne is a female given name of Hebrew origin, commonly used in many European languages and historically borne by numerous queens, saints, and notable women.
  • B. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • C. Anne
    Anne is the given name of Anne Cox Chambers, an American media proprietor, diplomat, and philanthropist.
  • D. Anne
    Anne is a given name used by Princess Marianne of Prussia, a 19th-century Prussian royal.
  • E. Anne
    Anne is the given name of Lady Anne Temple, a historical noblewoman likely associated with the British aristocracy.
  • F. None of above.

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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e39736588190b80ddef77101641a completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f24617b08190bad4419dc19bfd48 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f2d21768819094b37ee2e63d4310 completed May 15, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_6a06f35bc9a48190bff63fc7970d3965 completed May 15, 2026, 10:20 a.m.
Created at: April 10, 2026, 12:05 p.m.