Triple
T3582752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Broad |
E75838
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Gensler
Gensler is a global architecture and design firm known for its influential commercial, cultural, and urban projects worldwide.
|
E117543
|
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: Gensler | Statement: [The Broad, designedBy, Gensler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gensler Context triple: [The Broad, designedBy, Gensler]
-
A.
Gensler
Gensler is a global architecture and design firm known for its influential commercial, cultural, and workplace projects around the world.
-
B.
Kohn Pedersen Fox
Kohn Pedersen Fox is a prominent American architecture firm known for designing major skyscrapers and large-scale urban projects worldwide.
-
C.
Gwathmey Siegel & Associates Architects
Gwathmey Siegel & Associates Architects was a prominent New York–based modernist architecture firm known for its museum, cultural, and institutional projects.
-
D.
Perkins Eastman
Perkins Eastman is a global architecture and design firm known for large-scale urban, mixed-use, and institutional projects.
-
E.
Bates Smart
Bates Smart is a prominent Australian architecture and design firm known for shaping contemporary urban landscapes through major cultural, commercial, and civic projects.
- 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: Gensler Triple: [The Broad, designedBy, Gensler]
Generated description
Gensler is a global architecture and design firm known for its influential commercial, cultural, and urban projects worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gensler Target entity description: Gensler is a global architecture and design firm known for its influential commercial, cultural, and urban projects worldwide.
-
A.
Gensler
chosen
Gensler is a global architecture and design firm known for its influential commercial, cultural, and workplace projects around the world.
-
B.
Kohn Pedersen Fox
Kohn Pedersen Fox is a prominent American architecture firm known for designing major skyscrapers and large-scale urban projects worldwide.
-
C.
Gwathmey Siegel & Associates Architects
Gwathmey Siegel & Associates Architects was a prominent New York–based modernist architecture firm known for its museum, cultural, and institutional projects.
-
D.
Perkins Eastman
Perkins Eastman is a global architecture and design firm known for large-scale urban, mixed-use, and institutional projects.
-
E.
Bates Smart
Bates Smart is a prominent Australian architecture and design firm known for shaping contemporary urban landscapes through major cultural, commercial, and civic projects.
- F. None of above.
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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402f36b2481909d4716e72a696e0d |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b403b9e7ac8190917e7313279b1c46 |
completed | March 13, 2026, 12:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4086f6da4819084778dffa33ef116 |
completed | March 13, 2026, 12:51 p.m. |
Created at: March 8, 2026, 3:21 p.m.