Triple
T16048065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretchen Morgan |
E389274
|
entity |
| Predicate | antagonistOf |
P18963
|
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: [Gretchen Morgan, antagonistOf, Sara Tancredi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Tancredi Context triple: [Gretchen Morgan, antagonistOf, 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.
Sara Forestier
Sara Forestier is a French actress and filmmaker known for her acclaimed performances in contemporary French cinema, including César Award–winning roles.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18360464881909fd4d3bcb4ffb7f5 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29836bc8190b35f528d3e8547be |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 4:56 a.m.