Triple

T7788811
Position Surface form Disambiguated ID Type / Status
Subject Frances Appleton Longfellow E187318 entity
Predicate middleName P143 FINISHED
Object Elizabeth
Elizabeth is the middle name of Frances Appleton Longfellow, the wife of American poet Henry Wadsworth Longfellow.
 E693555 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 | Statement: [Frances Appleton Longfellow, middleName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabeth
Context triple: [Frances Appleton Longfellow, middleName, Elizabeth]
  • A. Elizabeth
    Elizabeth is a comedic, high-strung fiancée character in the 1974 Mel Brooks film "Young Frankenstein," known for her dramatic personality and memorable scenes.
  • B. Elizabeth
    "Elizabeth" is a popular country and gospel song by The Statler Brothers, known for its rich harmonies and storytelling lyrics.
  • C. Elizabeth
    Elizabeth is the given first name of American silent film actress Betty Bronson, known for her role as Peter Pan in the 1924 film adaptation.
  • D. Elizabeth
    Elizabeth is the central protagonist of the interactive narrative game "If/Then," around whom the story’s key choices and emotional developments revolve.
  • E. Elizabeth
    Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
  • 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
Triple: [Frances Appleton Longfellow, middleName, Elizabeth]
Generated description
Elizabeth is the middle name of Frances Appleton Longfellow, the wife of American poet Henry Wadsworth Longfellow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabeth
Target entity description: Elizabeth is the middle name of Frances Appleton Longfellow, the wife of American poet Henry Wadsworth Longfellow.
  • A. Elizabeth
    Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • B. Elizabeth
    Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
  • C. Elizabeth
    Elizabeth was the given name of Elizabeth Batts Cook, the wife of British explorer Captain James Cook.
  • D. Elizabeth
    Elizabeth is the first name of Elizabeth Bishop, the acclaimed American poet known for her precise language and vivid imagery.
  • E. Elizabeth
    Elizabeth is the middle name of Lady Sarah Chatto, a British painter and member of the extended royal family.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7e8a0d08190b6d4ca560681eb35 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5f4fa6c8190a85ba9019c0e5345 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf820b05481908b405048c077ca2e completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa052d4481908b89f6001aa6ea01 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:25 p.m.