Triple
T6264721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Commerce v. Whiting |
E140385
|
entity |
| Predicate | respondent |
P2238
|
FINISHED |
| Object |
Whiting
Whiting is a party involved in the U.S. Supreme Court case Chamber of Commerce v. Whiting, which addressed state authority over immigration-related employment regulations.
|
E582484
|
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: Whiting | Statement: [Chamber of Commerce v. Whiting, respondent, Whiting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whiting Context triple: [Chamber of Commerce v. Whiting, respondent, Whiting]
-
A.
Spearfish
Spearfish is a small city in western South Dakota known as a gateway to the scenic Black Hills region and nearby Spearfish Canyon.
-
B.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
-
C.
Creel
Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
-
D.
Faison
Faison is a surname most notably associated with American actor and comedian Donald Faison.
-
E.
Whitefish
Whitefish is a small resort city in northwestern Montana known for its proximity to Glacier National Park and the Whitefish Mountain ski area.
- 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: Whiting Triple: [Chamber of Commerce v. Whiting, respondent, Whiting]
Generated description
Whiting is a party involved in the U.S. Supreme Court case Chamber of Commerce v. Whiting, which addressed state authority over immigration-related employment regulations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whiting Target entity description: Whiting is a party involved in the U.S. Supreme Court case Chamber of Commerce v. Whiting, which addressed state authority over immigration-related employment regulations.
-
A.
Spearfish
Spearfish is a small city in western South Dakota known as a gateway to the scenic Black Hills region and nearby Spearfish Canyon.
-
B.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
-
C.
Creel
Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
-
D.
Faison
Faison is a surname most notably associated with American actor and comedian Donald Faison.
-
E.
Whitefish
Whitefish is a small resort city in northwestern Montana known for its proximity to Glacier National Park and the Whitefish Mountain ski area.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51932e704819083e1ed17a86f6b5e |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c52ced35ec8190ab35f5ceb50d9305 |
completed | March 26, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5847a09c48190887f1d0071e9c591 |
completed | March 26, 2026, 7:09 p.m. |
Created at: March 22, 2026, 4:25 p.m.