Triple
T6418831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India national cricket team |
E127893
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Men in Blue
Men in Blue is the popular nickname for the India national cricket team, known for its blue jerseys and passionate global fanbase.
|
E593283
|
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: Men in Blue | Statement: [India national cricket team, nickname, Men in Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Men in Blue Context triple: [India national cricket team, nickname, Men in Blue]
-
A.
The Boys in Blue
The Boys in Blue is the popular nickname for Major League Soccer club Philadelphia Union, reflecting the team’s traditional blue kit and identity.
-
B.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
-
C.
Men in Green
Men in Green is a popular nickname for the Pakistan national cricket team, known for its passionate fan base and unpredictable, exciting style of play.
-
D.
Twelve Men
Twelve Men is a collection of character-driven short stories by American naturalist author Theodore Dreiser, portraying the lives and struggles of various men in early 20th-century America.
-
E.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
- 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: Men in Blue Triple: [India national cricket team, nickname, Men in Blue]
Generated description
Men in Blue is the popular nickname for the India national cricket team, known for its blue jerseys and passionate global fanbase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Men in Blue Target entity description: Men in Blue is the popular nickname for the India national cricket team, known for its blue jerseys and passionate global fanbase.
-
A.
The Boys in Blue
The Boys in Blue is the popular nickname for Major League Soccer club Philadelphia Union, reflecting the team’s traditional blue kit and identity.
-
B.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
-
C.
Men in Green
Men in Green is a popular nickname for the Pakistan national cricket team, known for its passionate fan base and unpredictable, exciting style of play.
-
D.
Twelve Men
Twelve Men is a collection of character-driven short stories by American naturalist author Theodore Dreiser, portraying the lives and struggles of various men in early 20th-century America.
-
E.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690194dc8190b3382bd5f92876b5 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d2ab64819089e91525da60392b |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c644ec2ca48190997a118f8751cba5 |
completed | March 27, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6455961b881908f5804d9c0e86573 |
completed | March 27, 2026, 8:52 a.m. |
Created at: March 22, 2026, 4:42 p.m.