Triple
T20525924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix Silla |
E503935
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Felix |
—
|
NE NERFINISHED |
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: Felix | Statement: [Felix Silla, givenName, Felix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felix Context triple: [Felix Silla, givenName, Felix]
-
A.
Felix
chosen
Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
-
B.
Felice
Felice is the nickname of Felice Bryant, an American songwriter best known for co-writing numerous hit songs with her husband Boudleaux Bryant.
-
C.
Felice
Felice is a comic character from the classic French farce "Il cappello di paglia di Firenze" (The Florentine Straw Hat), typically involved in the play’s intricate misunderstandings and humorous situations.
-
D.
Felice
Felice is a central female character in Claude McKay’s novel "Home to Harlem," representing love, desire, and the complexities of relationships in Harlem’s vibrant 1920s nightlife.
-
E.
Felice
Felice is an Italian given name, historically borne by several notable figures including athletes, artists, and religious leaders.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06504b48190b3f1defdc23a47d5 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.