Triple
T10302879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Hampton |
E241676
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fredrick |
E347576
|
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: Fredrick | Statement: [Fred Hampton, givenName, Fredrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fredrick Context triple: [Fred Hampton, givenName, Fredrick]
-
A.
Fredrick
chosen
Fredrick is the given first name of American rapper Freddie Gibbs, known for his gritty lyricism and acclaimed hip-hop albums.
-
B.
Frederick
Frederick, better known as Lord North, was an 18th-century British prime minister most remembered for leading Britain during the American Revolutionary War.
-
C.
Frederick
Frederick is the birth name of Fred Astaire, the legendary American dancer, singer, and actor renowned for his influential work in film and Broadway musicals.
-
D.
Frederick
Frederick, better known by his title Lord Birkenhead, was a prominent early 20th-century British Conservative politician, lawyer, and Lord Chancellor.
-
E.
Frederick
Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d4f6c30819098bcdc77ba1836c3 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:45 a.m.