Triple
T8129841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Bristow |
E189825
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Francie Calfo |
E330387
|
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: Francie Calfo | Statement: [Sydney Bristow, friend, Francie Calfo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francie Calfo Context triple: [Sydney Bristow, friend, Francie Calfo]
-
A.
Francie Calfo
chosen
Francie Calfo is a fictional character from the television series "Alias," known for her close friendship with protagonist Sydney Bristow.
-
B.
Diane Divelbess
Diane Divelbess is a character in the television film "Serving in Silence: The Margarethe Cammermeyer Story," which dramatizes the real-life experiences of a U.S. Army officer challenging the military’s ban on openly gay service members.
-
C.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
-
D.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
-
E.
Coleen Gray
Coleen Gray was an American film and television actress best known for her roles in classic 1940s and 1950s noir and Western films.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced20909481909e44182f1a8fb2a1 |
completed | April 1, 2026, 10:02 a.m. |
Created at: March 30, 2026, 5:34 p.m.