Triple
T6599107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army and Navy Club |
E148549
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Rag
The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
|
E607223
|
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: The Rag | Statement: [Army and Navy Club, alsoKnownAs, The Rag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rag Context triple: [Army and Navy Club, alsoKnownAs, The Rag]
-
A.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
B.
The Shag
The Shag is a swing-style partner dance that originated in the Carolina beach communities and is closely associated with beach music culture.
-
C.
The Gund
The Gund is the former name of Rocket Mortgage FieldHouse, a major indoor sports and entertainment arena in downtown Cleveland, Ohio.
-
D.
Rags
Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
-
E.
Bad Ragaz
Bad Ragaz is a Swiss spa and resort town in the canton of St. Gallen, renowned for its thermal baths and alpine setting.
- 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: The Rag Triple: [Army and Navy Club, alsoKnownAs, The Rag]
Generated description
The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Rag Target entity description: The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
-
A.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
B.
The Shag
The Shag is a swing-style partner dance that originated in the Carolina beach communities and is closely associated with beach music culture.
-
C.
The Gund
The Gund is the former name of Rocket Mortgage FieldHouse, a major indoor sports and entertainment arena in downtown Cleveland, Ohio.
-
D.
Rags
Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
-
E.
Bad Ragaz
Bad Ragaz is a Swiss spa and resort town in the canton of St. Gallen, renowned for its thermal baths and alpine setting.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeeffdf0819090af7bba918bef84 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43224dc81909dea493a5ee2726e |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.