Triple

T1257607
Position Surface form Disambiguated ID Type / Status
Subject Celine Dion E12428 entity
Predicate givenName P17 FINISHED
Object Céline
Céline is the French given name of internationally renowned Canadian singer Céline Dion.
 E143077 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: Céline | Statement: [Celine Dion, givenName, Céline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Céline
Context triple: [Celine Dion, givenName, Céline]
  • A. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • B. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • C. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • D. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • E. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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: Céline
Triple: [Celine Dion, givenName, Céline]
Generated description
Céline is the French given name of internationally renowned Canadian singer Céline Dion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Céline
Target entity description: Céline is the French given name of internationally renowned Canadian singer Céline Dion.
  • A. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • B. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • C. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • D. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • E. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfaa2b508190a3f61c67b3fa3ad4 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93cdba808190b7d164bb98efe3dc completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94c0e6548190a2d40e3ac1a279ce completed March 7, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69ac9531c2f08190b570fcb7b035ea87 completed March 7, 2026, 9:14 p.m.
Created at: March 1, 2026, 7:50 p.m.