Triple

T14233672
Position Surface form Disambiguated ID Type / Status
Subject Dorothy "Daphne" de Sélincourt E352817 entity
Predicate nickname P55 FINISHED
Object Daphne
Daphne is the nickname of Dorothy de Sélincourt, an English editor and the wife of author A. A. Milne.
 E1087935 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: Daphne | Statement: [Dorothy "Daphne" de Sélincourt, nickname, Daphne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daphne
Context triple: [Dorothy "Daphne" de Sélincourt, nickname, Daphne]
  • A. Daphne
    Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
  • B. Daphne
    Daphne is a coastal city in Baldwin County, Alabama, situated along the eastern shore of Mobile Bay.
  • C. Daphne
    Daphne is an HTTP, HTTP/2, and WebSocket server for ASGI applications, commonly used to serve Django and other Python async web frameworks.
  • D. Daphne
    "Daphne" is a fast, swinging jazz composition by guitarist Django Reinhardt that has become a recognized standard in the gypsy jazz repertoire.
  • E. Leontine
    Leontine is a feminine given name, used as a variant of names like Leona and Leontina, with roots in Latin meaning "lion-like" or "lioness."
  • 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: Daphne
Triple: [Dorothy "Daphne" de Sélincourt, nickname, Daphne]
Generated description
Daphne is the nickname of Dorothy de Sélincourt, an English editor and the wife of author A. A. Milne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daphne
Target entity description: Daphne is the nickname of Dorothy de Sélincourt, an English editor and the wife of author A. A. Milne.
  • A. Daphne
    Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
  • B. Daphne
    Daphne is a coastal city in Baldwin County, Alabama, situated along the eastern shore of Mobile Bay.
  • C. Daphne
    "Daphne" is a fast, swinging jazz composition by guitarist Django Reinhardt that has become a recognized standard in the gypsy jazz repertoire.
  • D. Daphne
    Daphne is an HTTP, HTTP/2, and WebSocket server for ASGI applications, commonly used to serve Django and other Python async web frameworks.
  • E. Leontine
    Leontine is a feminine given name, used as a variant of names like Leona and Leontina, with roots in Latin meaning "lion-like" or "lioness."
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281bc67c81909bb09ee4a39a0b7f completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29ee7e0c819095bc48e54f825bc6 completed May 8, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69fd2aa5bf3c8190bb62ce780d417b7d completed May 8, 2026, 12:13 a.m.
Created at: April 10, 2026, 1:07 a.m.