Triple

T10558991
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Saunders E249162 entity
Predicate awardReceived P11 FINISHED
Object Rose d'Or
The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
 E870572 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: Rose d'Or | Statement: [Jennifer Saunders, awardReceived, Rose d'Or]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rose d'Or
Context triple: [Jennifer Saunders, awardReceived, Rose d'Or]
  • A. Palme d’Or
    The Palme d’Or is the highest prize awarded at the Cannes Film Festival, recognizing the best feature film in the festival’s official selection.
  • B. Camera d’Or
    The Caméra d’Or is a prestigious Cannes Film Festival prize awarded to the best first feature film presented across the festival’s selections.
  • C. Le Cam Award
    The Le Cam Award is a prestigious prize in mathematical statistics recognizing outstanding contributions to asymptotic theory and related areas.
  • D. César statuette
    The César statuette is the iconic sculpted trophy presented at France’s premier national film awards, symbolizing excellence in French cinema.
  • E. Golden Lion
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • 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: Rose d'Or
Triple: [Jennifer Saunders, awardReceived, Rose d'Or]
Generated description
The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rose d'Or
Target entity description: The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
  • A. Palme d’Or
    The Palme d’Or is the highest prize awarded at the Cannes Film Festival, recognizing the best feature film in the festival’s official selection.
  • B. Camera d’Or
    The Caméra d’Or is a prestigious Cannes Film Festival prize awarded to the best first feature film presented across the festival’s selections.
  • C. Le Cam Award
    The Le Cam Award is a prestigious prize in mathematical statistics recognizing outstanding contributions to asymptotic theory and related areas.
  • D. César statuette
    The César statuette is the iconic sculpted trophy presented at France’s premier national film awards, symbolizing excellence in French cinema.
  • E. Golden Lion
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271e65688190bcf7931373d87f94 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.