Triple
T2395144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Frick |
E47631
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Frick |
E5200
|
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: Frick | Statement: [Rolf Frick, hasSurname, Frick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frick Context triple: [Rolf Frick, hasSurname, Frick]
-
A.
Frick
chosen
Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
-
B.
Reinsdorf
Reinsdorf is a surname most prominently associated with American sports team owner Jerry Reinsdorf, known for owning the Chicago Bulls and Chicago White Sox.
-
C.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
D.
Fritchie
Fritchie is the surname associated with Barbara Frietchie, the American Civil War heroine immortalized in John Greenleaf Whittier’s poem for defiantly flying the Union flag.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc879b1b88190be8d0337d9a17bd0 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3dc44dc819099b8914b878c5638 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.