Triple
T13624889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Malone |
E325551
|
entity |
| Predicate | employerOf |
P7
|
FINISHED |
| Object | Carla Tortelli |
E330418
|
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: Carla Tortelli | Statement: [Sam Malone, employerOf, Carla Tortelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Tortelli Context triple: [Sam Malone, employerOf, Carla Tortelli]
-
A.
Carla Tortelli
chosen
Carla Tortelli is a sharp-tongued, tough, and fiercely loyal waitress on the classic American sitcom "Cheers."
-
B.
Carla Leone
Carla Leone was the wife of renowned Italian film director Sergio Leone.
-
C.
Maria Colacurcio
Maria Colacurcio is an American technology executive and entrepreneur best known as a co-founder of Smartsheet and for her leadership roles in data-driven workplace equity and HR tech companies.
-
D.
Carla Voltolina
Carla Voltolina was an Italian journalist, psychologist, and former partisan who was married to President Sandro Pertini and known for her social and humanitarian engagement.
-
E.
Maria Orefice
Maria Orefice was the mother of Adriana Caselotti, the American singer and voice actress best known for originating the voice of Snow White in Disney’s 1937 animated film.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08852a08190b9983e0c3058671a |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 9:50 p.m.