Triple
T3867344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith v. Allwright |
E91892
|
entity |
| Predicate | party |
P1790
|
FINISHED |
| Object | S. E. Allwright |
E91892
|
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: S. E. Allwright | Statement: [Smith v. Allwright, party, S. E. Allwright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. E. Allwright Context triple: [Smith v. Allwright, party, S. E. Allwright]
-
A.
S. E. Allwright
chosen
S. E. Allwright was the election official in the landmark U.S. Supreme Court case Smith v. Allwright, which struck down racially exclusive primary elections.
-
B.
L.T. Hutton
L.T. Hutton is an American record producer known for his work in West Coast hip hop, including collaborations with prominent artists like Snoop Dogg and 2Pac.
-
C.
C. E. Webber
C. E. Webber was a British television writer and script editor credited with helping develop the original concept and format of the long-running science fiction series Doctor Who.
-
D.
C.K. Holliday
C.K. Holliday is a historic steam locomotive that serves as one of the original engines operating on the Disneyland Railroad in Disneyland Park.
-
E.
E. M. Holmes
E. M. Holmes was a British botanist known for his work in pharmacognosy and the study of medicinal plants.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3cc1a88190924125a86f72fd5b |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512410f38819089adccf0a476dd8f |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.