Triple
T4699929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grey's Monument |
E104243
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Benjamin Green
Benjamin Green was a 19th-century British architect best known for designing prominent public monuments and buildings in northern England.
|
E460077
|
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: Benjamin Green | Statement: [Grey's Monument, architect, Benjamin Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Green Context triple: [Grey's Monument, architect, Benjamin Green]
-
A.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
B.
Bruce Green
Bruce Green is a film editor known for his work on feature films including the 1995 drama "The Basketball Diaries."
-
C.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
D.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
E.
Jake Green
Jake Green is the troubled professional gambler and ex-con protagonist of Guy Ritchie's 2005 crime thriller film "Revolver."
- 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: Benjamin Green Triple: [Grey's Monument, architect, Benjamin Green]
Generated description
Benjamin Green was a 19th-century British architect best known for designing prominent public monuments and buildings in northern England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benjamin Green Target entity description: Benjamin Green was a 19th-century British architect best known for designing prominent public monuments and buildings in northern England.
-
A.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
B.
Bruce Green
Bruce Green is a film editor known for his work on feature films including the 1995 drama "The Basketball Diaries."
-
C.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
D.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
E.
Jake Green
Jake Green is the troubled professional gambler and ex-con protagonist of Guy Ritchie's 2005 crime thriller film "Revolver."
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cbc5d881908d1d40c60929b253 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ca24848190aa7df32472647cae |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be04513ec081909d38f33de795402b |
completed | March 21, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be051027c88190a4f24ed5cb17b605 |
completed | March 21, 2026, 2:40 a.m. |
Created at: March 20, 2026, 1:17 p.m.