Triple
T5138127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YMCA |
E115877
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
George Williams
George Williams was a 19th-century English philanthropist best known as the founder of the Young Men's Christian Association (YMCA).
|
E498242
|
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: George Williams | Statement: [YMCA, foundedBy, George Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Williams Context triple: [YMCA, foundedBy, George Williams]
-
A.
George Ward
George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
-
B.
William Rose
William Rose was an American screenwriter best known for his work on classic comedies such as "The Russians Are Coming, the Russians Are Coming" and "Guess Who's Coming to Dinner."
-
C.
George Nichols
George Nichols was a 19th-century American publisher known for issuing notable literary works, including influential satirical and poetic writings.
-
D.
George Nichols
George Nichols was an American actor and film director active during the silent film era.
-
E.
William Nigh
William Nigh was an American film director, screenwriter, and actor active from the silent era through the 1940s, known for his work on low-budget genre films.
- 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: George Williams Triple: [YMCA, foundedBy, George Williams]
Generated description
George Williams was a 19th-century English philanthropist best known as the founder of the Young Men's Christian Association (YMCA).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Williams Target entity description: George Williams was a 19th-century English philanthropist best known as the founder of the Young Men's Christian Association (YMCA).
-
A.
George Ward
George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
-
B.
William Rose
William Rose was an American screenwriter best known for his work on classic comedies such as "The Russians Are Coming, the Russians Are Coming" and "Guess Who's Coming to Dinner."
-
C.
George Nichols
George Nichols was an American actor and film director active during the silent film era.
-
D.
George Nichols
George Nichols was a 19th-century American publisher known for issuing notable literary works, including influential satirical and poetic writings.
-
E.
William Nigh
William Nigh was an American film director, screenwriter, and actor active from the silent era through the 1940s, known for his work on low-budget genre films.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787acd18819087f09db885893c3e |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfdd965c8190adda020ead81bd05 |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed0b4c8648190a151383277a8297d |
completed | March 21, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed14d7a5c8190ac5b09f59a8dda1a |
completed | March 21, 2026, 5:11 p.m. |
Created at: March 20, 2026, 1:43 p.m.