Triple
T6030911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strom Thurmond |
E134299
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Strom |
E134299
|
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: 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.
Strom
chosen
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.
-
B.
Stroman
Stroman is a surname most prominently associated with Susan Stroman, the acclaimed American theatre director and choreographer known for her work on Broadway musicals.
-
C.
Son
Son is a Japanese surname most prominently associated with Masayoshi Son, the billionaire founder and CEO of SoftBank.
-
D.
Son
The Son is a major south-flowing river in central and eastern India, known as a key tributary of the Ganges and an important waterway for the regions it traverses.
-
E.
J Storm
J Storm is a musical artist known for performing the track "Did I Do That?".
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056af89e881909652957f94317684 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11381aa0c81909487a5eb510c9b41 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:08 p.m.