Triple

T17631235
Position Surface form Disambiguated ID Type / Status
Subject Atlas linguistique de la France E429979 entity
Predicate publisher P29 FINISHED
Object Champion
Champion is a French academic publishing house known for its scholarly works in linguistics, philology, and the humanities.
 E1279144 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: Champion | Statement: [Atlas linguistique de la France, publisher, Champion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Champion
Context triple: [Atlas linguistique de la France, publisher, Champion]
  • A. Champion
    "Champion" is a 1949 American film noir boxing drama directed by Mark Robson and starring Kirk Douglas as an ambitious but ruthless prizefighter.
  • B. Champion
    Champion was a prominent streamlined passenger train that operated in the mid-20th century between the U.S. Northeast and Florida, known for its popular vacation service.
  • C. Champion
    Champion is an American athletic apparel and sportswear brand known for its hoodies, sweatshirts, and activewear.
  • D. Champion
    Champion is the surname of Will Champion, the English drummer best known as a member of the rock band Coldplay.
  • E. Champion
    "Champion" is a song by Nigerian singer Fireboy DML, known for its uplifting themes and melodic Afrobeats sound.
  • 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: Champion
Triple: [Atlas linguistique de la France, publisher, Champion]
Generated description
Champion is a French academic publishing house known for its scholarly works in linguistics, philology, and the humanities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Champion
Target entity description: Champion is a French academic publishing house known for its scholarly works in linguistics, philology, and the humanities.
  • A. Champion
    "Champion" is a 1949 American film noir boxing drama directed by Mark Robson and starring Kirk Douglas as an ambitious but ruthless prizefighter.
  • B. Champion
    Champion was a prominent streamlined passenger train that operated in the mid-20th century between the U.S. Northeast and Florida, known for its popular vacation service.
  • C. Champion
    Champion is an American athletic apparel and sportswear brand known for its hoodies, sweatshirts, and activewear.
  • D. Champion
    Champion is the surname of Will Champion, the English drummer best known as a member of the rock band Coldplay.
  • E. Champion
    "Champion" is a song by Nigerian singer Fireboy DML, known for its uplifting themes and melodic Afrobeats sound.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc192dc8190854f1fe5d5ed696a completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a9d79c8819089e2db35ee4d02f7 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b6fc2908190a2e4c54f20f1fa1f completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bf5d45c819097fc5a516587263c completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 5:52 a.m.