Triple

T4595862
Position Surface form Disambiguated ID Type / Status
Subject Lille OSC E100202 entity
Predicate nickname P55 FINISHED
Object Les Dogues
Les Dogues is the popular nickname of French football club Lille OSC, reflecting the team’s tenacious, “bulldog-like” playing spirit.
E459498 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: Les Dogues | Statement: [Lille OSC, nickname, Les Dogues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Dogues
Context triple: [Lille OSC, nickname, Les Dogues]
  • A. The Dog Pound
    The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
  • B. The Twa Dogs
    The Twa Dogs is a satirical poem by Robert Burns in which two dogs discuss and contrast the lives of the rich and the poor in 18th-century Scotland.
  • C. La Rascasse
    La Rascasse is a famous tight right-hand hairpin near the end of the Monaco Grand Prix circuit, known for its low speed and role in overtaking and race-defining incidents.
  • D. Canes
    Canes is the nickname commonly used for the University of Miami’s athletic teams, short for the Hurricanes.
  • E. The Dogs of War
    The Dogs of War is a 1980 political war film based on Frederick Forsyth’s novel, following mercenaries hired to overthrow a fictional African dictator.
  • 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: Les Dogues
Triple: [Lille OSC, nickname, Les Dogues]
Generated description
Les Dogues is the popular nickname of French football club Lille OSC, reflecting the team’s tenacious, “bulldog-like” playing spirit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Les Dogues
Target entity description: Les Dogues is the popular nickname of French football club Lille OSC, reflecting the team’s tenacious, “bulldog-like” playing spirit.
  • A. The Dog Pound
    The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
  • B. The Twa Dogs
    The Twa Dogs is a satirical poem by Robert Burns in which two dogs discuss and contrast the lives of the rich and the poor in 18th-century Scotland.
  • C. La Rascasse
    La Rascasse is a famous tight right-hand hairpin near the end of the Monaco Grand Prix circuit, known for its low speed and role in overtaking and race-defining incidents.
  • D. Canes
    Canes is the nickname commonly used for the University of Miami’s athletic teams, short for the Hurricanes.
  • E. The Dogs of War
    The Dogs of War is a 1980 political war film based on Frederick Forsyth’s novel, following mercenaries hired to overthrow a fictional African dictator.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593f25888190a4f219e4da494764 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa4552148190be200be028ef3fdd completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfb37b1448190a4001b9ed2b79012 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc0e456c81908efa3858d981ccc0 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:11 p.m.