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.