Triple

T10810326
Position Surface form Disambiguated ID Type / Status
Subject Louis Jourdan E255079 entity
Predicate notableWork P4 FINISHED
Object The Swan
The Swan is a 1956 romantic comedy film, based on Ferenc Molnár’s play, in which Louis Jourdan stars alongside Grace Kelly and Alec Guinness in a royal love triangle.
E887350 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: The Swan | Statement: [Louis Jourdan, notableWork, The Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Swan
Context triple: [Louis Jourdan, notableWork, The Swan]
  • A. The Swan
    The Swan is a graceful waterbird known for its long neck, white plumage in many species, and strong presence in mythology, literature, and art as a symbol of beauty and elegance.
  • B. The Swan
    The Swan is the distinctive, cable-stayed Erasmus Bridge in Rotterdam, celebrated as an architectural landmark and symbol of the city.
  • C. Swan Queen
    Swan Queen is the principal ballerina role in the classical ballet "Swan Lake," most famously embodied by the character Odette.
  • D. The Unfinished Swan
    The Unfinished Swan is a surreal first-person adventure game known for its distinctive minimalist art style and exploration-focused storytelling.
  • E. Eleanor Craig
    Eleanor Craig is known primarily as the daughter of William Craig.
  • 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: The Swan
Triple: [Louis Jourdan, notableWork, The Swan]
Generated description
The Swan is a 1956 romantic comedy film, based on Ferenc Molnár’s play, in which Louis Jourdan stars alongside Grace Kelly and Alec Guinness in a royal love triangle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Swan
Target entity description: The Swan is a 1956 romantic comedy film, based on Ferenc Molnár’s play, in which Louis Jourdan stars alongside Grace Kelly and Alec Guinness in a royal love triangle.
  • A. The Swan
    The Swan is a graceful waterbird known for its long neck, white plumage in many species, and strong presence in mythology, literature, and art as a symbol of beauty and elegance.
  • B. The Swan
    The Swan is the distinctive, cable-stayed Erasmus Bridge in Rotterdam, celebrated as an architectural landmark and symbol of the city.
  • C. Swan Queen
    Swan Queen is the principal ballerina role in the classical ballet "Swan Lake," most famously embodied by the character Odette.
  • D. The Unfinished Swan
    The Unfinished Swan is a surreal first-person adventure game known for its distinctive minimalist art style and exploration-focused storytelling.
  • E. Eleanor Craig
    Eleanor Craig is known primarily as the daughter of William Craig.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8526237881908dc3b25b16de7871 completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8954500c81909b57c4f8007959aa completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f38e3048190b1acc81bb56fe165 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.