Triple
T1185700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women in Military Service for America Memorial |
E25239
|
entity |
| Predicate | architecturalFirm |
P2468
|
FINISHED |
| Object |
Weiss/Manfredi
Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
|
E135761
|
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: Weiss/Manfredi | Statement: [Women in Military Service for America Memorial, architecturalFirm, Weiss/Manfredi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiss/Manfredi Context triple: [Women in Military Service for America Memorial, architecturalFirm, Weiss/Manfredi]
-
A.
Weiss
Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
-
B.
Wolff
Wolff is a German surname borne by numerous notable individuals across fields such as philosophy, science, and the arts.
-
C.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
-
D.
Fall Weiss
Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
-
E.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
- 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: Weiss/Manfredi Triple: [Women in Military Service for America Memorial, architecturalFirm, Weiss/Manfredi]
Generated description
Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiss/Manfredi Target entity description: Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
-
A.
Weiss
Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
-
B.
Wolff
Wolff is a German surname borne by numerous notable individuals across fields such as philosophy, science, and the arts.
-
C.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
-
D.
Fall Weiss
Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
-
E.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f239a288190ae488d11cff8ebf2 |
completed | March 7, 2026, 6:32 p.m. |
| NEDg | Description generation | batch_69ac6fea11408190b84d9fc54d4c4917 |
completed | March 7, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac70592c5c8190a1f86378ec5f70a9 |
completed | March 7, 2026, 6:37 p.m. |
Created at: March 1, 2026, 7:45 p.m.