Triple

T21643479
Position Surface form Disambiguated ID Type / Status
Subject Nothing Serious E534153 entity
Predicate hasStory P11859 FINISHED
Object Excelsior
Excelsior is a story featured within the work "Nothing Serious," likely serving as one of its notable narrative pieces.
 E1494318 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: Excelsior | Statement: [Nothing Serious, hasStory, Excelsior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Excelsior
Context triple: [Nothing Serious, hasStory, Excelsior]
  • A. Excelsior
    Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
  • B. Excelsior
    Excelsior is a small lakeside city in Minnesota known for its historic downtown and location on the shores of Lake Minnetonka.
  • C. Excelsior
    Excelsior is a professional football club from Rotterdam, Netherlands, known as one of Feyenoord’s local city rivals.
  • D. The Yankee
    The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • E. The Bell
    The Bell is a 1958 novel by British philosopher and author Iris Murdoch that explores morality, religion, and human relationships within a lay religious community.
  • 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: Excelsior
Triple: [Nothing Serious, hasStory, Excelsior]
Generated description
Excelsior is a story featured within the work "Nothing Serious," likely serving as one of its notable narrative pieces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Excelsior
Target entity description: Excelsior is a story featured within the work "Nothing Serious," likely serving as one of its notable narrative pieces.
  • A. Excelsior
    Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
  • B. Excelsior
    Excelsior is a small lakeside city in Minnesota known for its historic downtown and location on the shores of Lake Minnetonka.
  • C. Excelsior
    Excelsior is a professional football club from Rotterdam, Netherlands, known as one of Feyenoord’s local city rivals.
  • D. The Yankee
    The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • E. The Bell
    The Bell is a 1958 novel by British philosopher and author Iris Murdoch that explores morality, religion, and human relationships within a lay religious community.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53930644819086b0f499e1b8ae63 completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa44ca88190a8a55c1811edc5a1 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a10c284548190abb5a0075f85ec2c completed May 17, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a119cb17c8190a8732930b78b60cc completed May 17, 2026, 7:06 p.m.
Created at: April 16, 2026, 6:35 p.m.