Triple
T20174203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope & Faith |
E492046
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nicole Paggi |
—
|
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: Nicole Paggi | Statement: [Hope & Faith, starring, Nicole Paggi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Paggi Context triple: [Hope & Faith, starring, Nicole Paggi]
-
A.
Nicole Paggi
chosen
Nicole Paggi is an American actress best known for her television work, including a main role on the sitcom "One on One."
-
B.
Nicole Grimaudo
Nicole Grimaudo is an Italian actress known for her work in film, television, and theater, including prominent roles in contemporary Italian cinema.
-
C.
Nicole DeMasi
Nicole DeMasi is a screenwriter best known for her work on the comedy horror film "Meet the Blacks."
-
D.
Nicole Trunfio
Nicole Trunfio is an Australian model and fashion designer known for her work with major international brands and appearances on reality modeling competitions.
-
E.
Nicole Pantenburg
Nicole Pantenburg is an American former backup dancer and actress best known for her work with artists like Janet Jackson and for her marriage to R&B singer-songwriter Babyface.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.