Triple
T10920411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fra Fee |
E257931
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fra Fee |
E257931
|
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: Fra Fee | Statement: [Fra Fee, name, Fra Fee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fra Fee Context triple: [Fra Fee, name, Fra Fee]
-
A.
Fra Fee
chosen
Fra Fee is an Irish actor and singer known for his work in film, television, and musical theatre, including roles in productions like Les Misérables and various stage performances in the West End.
-
B.
Faithe Herman
Faithe Herman is an American child actress best known for her role as Darla Dudley in the DC superhero film "Shazam!" and for her work on the television series "This Is Us."
-
C.
Fefe
"Fefe" is a 2018 hip-hop single by rapper Tekashi 6ix9ine featuring Nicki Minaj and Murda Beatz that gained widespread attention for its catchy hook and colorful music video.
-
D.
Ill Will Fulton
Ill Will Fulton is a music producer known for contributing to Mos Def’s genre-blending hip-hop album *The New Danger*.
-
E.
Fran Jeffries
Fran Jeffries was an American singer, actress, and model best known for her sultry musical performances in films of the 1960s, including "The Pink Panther."
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77081a0c48190b7aa4a482032d1ea |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.