Triple
T13796300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prison Break |
E331523
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sara Tancredi |
E348465
|
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: Sara Tancredi | Statement: [Prison Break, mainCharacter, Sara Tancredi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Tancredi Context triple: [Prison Break, mainCharacter, Sara Tancredi]
-
A.
Sara Tancredi
chosen
Sara Tancredi is a compassionate prison doctor who becomes a crucial ally and love interest to Michael Scofield in the television series "Prison Break."
-
B.
Sara Serraiocco
Sara Serraiocco is an Italian actress known for her acclaimed film and television roles, including a prominent part in the sci-fi thriller series "Counterpart."
-
C.
Mara Carfagna
Mara Carfagna is an Italian politician and former television showgirl who has served as a prominent minister and parliamentarian in center-right governments.
-
D.
Tharita Cesaroni
Tharita Cesaroni is an Italian film producer and cinematographer known for her work behind the camera and for being married to actor Dermot Mulroney.
-
E.
Andrea Marcovicci
Andrea Marcovicci is an American actress and cabaret singer known for her work in film, television, and on stage, particularly for her interpretations of classic American songs.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeefd61c81908d189237af45467a |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:11 p.m.