Triple

T14018271
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth, Louisiana E337255 entity
Predicate namedAfter P63 FINISHED
Object Elizabeth (given name)
Elizabeth is a classic feminine given name of Hebrew origin, traditionally associated with royalty and biblical figures and widely used in many cultures and languages.
 E1073377 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: Elizabeth (given name) | Statement: [Elizabeth, Louisiana, namedAfter, Elizabeth (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabeth (given name)
Context triple: [Elizabeth, Louisiana, namedAfter, Elizabeth (given name)]
  • A. Elizabeth R
    Elizabeth R is the royal cypher and formal regnal signature used by Queen Elizabeth II on official documents and insignia.
  • B. Elizabeth R
    Elizabeth R is a critically acclaimed 1971 British television drama series depicting the life and reign of Queen Elizabeth I of England.
  • C. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • D. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • E. Anne
    Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
  • 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: Elizabeth (given name)
Triple: [Elizabeth, Louisiana, namedAfter, Elizabeth (given name)]
Generated description
Elizabeth is a classic feminine given name of Hebrew origin, traditionally associated with royalty and biblical figures and widely used in many cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabeth (given name)
Target entity description: Elizabeth is a classic feminine given name of Hebrew origin, traditionally associated with royalty and biblical figures and widely used in many cultures and languages.
  • A. Elizabeth R
    Elizabeth R is the royal cypher and formal regnal signature used by Queen Elizabeth II on official documents and insignia.
  • B. Elizabeth R
    Elizabeth R is a critically acclaimed 1971 British television drama series depicting the life and reign of Queen Elizabeth I of England.
  • C. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • D. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • E. Anne
    Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacad948c81909db7187da5a9b97d completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae186bb881908ea17ae6b12825af completed May 6, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69fbaebaab508190a609fa151c686a0d completed May 6, 2026, 9:12 p.m.
Created at: April 9, 2026, 10:19 p.m.