Triple
T1165252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strom Thurmond |
E24584
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Strom
Strom is the given name of Strom Thurmond, a long-serving U.S. senator from South Carolina known for his staunch segregationist views and record-breaking tenure in Congress.
|
E134299
|
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: Strom | Statement: [Strom Thurmond, givenName, Strom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strom Context triple: [Strom Thurmond, givenName, Strom]
-
A.
Dana
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
-
B.
Trent
The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
-
C.
Stiris
Stiris was an ancient Greek city in the region of Phocis, known as one of its notable urban centers in classical antiquity.
-
D.
Tse-ven
Tse-ven is the given name of T. V. Soong, a prominent Chinese politician and financier who served as a key economic and diplomatic figure for the Republic of China in the early 20th century.
-
E.
Kay
Kay is a common diminutive or nickname for the given name Catherine.
- 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: Strom Triple: [Strom Thurmond, givenName, Strom]
Generated description
Strom is the given name of Strom Thurmond, a long-serving U.S. senator from South Carolina known for his staunch segregationist views and record-breaking tenure in Congress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strom Target entity description: Strom is the given name of Strom Thurmond, a long-serving U.S. senator from South Carolina known for his staunch segregationist views and record-breaking tenure in Congress.
-
A.
Dana
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
-
B.
Trent
The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
-
C.
Stiris
Stiris was an ancient Greek city in the region of Phocis, known as one of its notable urban centers in classical antiquity.
-
D.
Tse-ven
Tse-ven is the given name of T. V. Soong, a prominent Chinese politician and financier who served as a key economic and diplomatic figure for the Republic of China in the early 20th century.
-
E.
Kay
Kay is a common diminutive or nickname for the given name Catherine.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccb3b388190938c68dee90b3f19 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac668290008190a5e175c0a2e5feb0 |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac6aaa84fc81908130543b14938e41 |
completed | March 7, 2026, 6:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac6b24987c819080e00b49df8f6edb |
completed | March 7, 2026, 6:15 p.m. |
Created at: March 1, 2026, 7:45 p.m.