Triple

T12113754
Position Surface form Disambiguated ID Type / Status
Subject Hillside E288501 entity
Predicate isNeighborOf P5707 FINISHED
Object Elizabeth
Elizabeth is a nearby town or community adjacent to Hillside, likely sharing local amenities and regional connections.
E965049 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: [Hillside, isNeighborOf, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Hillside, isNeighborOf, Elizabeth]
  • A. Elizabeth
    Elizabeth "Betty" Ford was the influential First Lady of the United States from 1974 to 1977, renowned for her advocacy on women's rights, breast cancer awareness, and addiction treatment.
  • B. Elizabeth
    Elizabeth is the birth name of American comedian, writer, and actress Tina Fey, known for her work on "Saturday Night Live" and "30 Rock."
  • C. Elizabeth
    Elizabeth is the middle name of Diane Elizabeth Dern, an individual likely known in relation to the Dern family.
  • D. Elizabeth
    Elizabeth is the birth name of American actress and singer Betty Hutton, a popular Hollywood star of the 1940s and 1950s.
  • E. Elizabeth
    Elizabeth is the given name of Elizabeth Camilla Julia "Lisl" Godowsky, an individual associated with the Godowsky family.
  • 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: [Hillside, isNeighborOf, Elizabeth]
Generated description
Elizabeth is a nearby town or community adjacent to Hillside, likely sharing local amenities and regional connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Target entity description: Elizabeth is a nearby town or community adjacent to Hillside, likely sharing local amenities and regional connections.
  • A. Elizabeth
    Elizabeth is a suburban electorate in South Australia known for its working-class community and industrial heritage within the northern Adelaide region.
  • B. Elizabeth
    Elizabeth is a city in northeastern New Jersey that forms part of the greater New York metropolitan area.
  • C. Elizabeth
    Elizabeth is a biblical figure in the New Testament, known as the mother of John the Baptist and a relative of Mary, the mother of Jesus.
  • D. Elizabeth
    Elizabeth is the middle name of Princess Beatrice of York, a member of the British royal family.
  • E. Elizabeth
    Elizabeth is the given name of Princess Alexandra, The Honourable Lady Ogilvy, a member of the British royal family and cousin of Queen Elizabeth II.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66d1b44819091f638d2a621ecde completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.