Triple
T37433067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Corner |
E930193
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cornell Tech campus public realm, Roosevelt Island
The Cornell Tech campus public realm on Roosevelt Island is a contemporary, landscape-driven urban environment designed to integrate academic buildings with open green spaces, waterfront access, and pedestrian-friendly circulation.
|
E2227006
|
NE FINISHED |
How this triple was built (2 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: Cornell Tech campus public realm, Roosevelt Island | Statement: [James Corner, notableWork, Cornell Tech campus public realm, Roosevelt Island]
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: Cornell Tech campus public realm, Roosevelt Island Triple: [James Corner, notableWork, Cornell Tech campus public realm, Roosevelt Island]
Generated description
The Cornell Tech campus public realm on Roosevelt Island is a contemporary, landscape-driven urban environment designed to integrate academic buildings with open green spaces, waterfront access, and pedestrian-friendly circulation.
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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8dd3a9ac8190bf12771a1e6455b2 |
completed | May 6, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408255210081908cd1203765efa7b2 |
completed | June 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_6a4082ee19408190894a33b840994de1 |
completed | June 28, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40835a85a48190a6c838ee9d8231dc |
completed | June 28, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:17 p.m.