Triple
T11486217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina Sayers |
E272285
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Erica Sayers |
E324282
|
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: Erica Sayers | Statement: [Nina Sayers, mother, Erica Sayers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erica Sayers Context triple: [Nina Sayers, mother, Erica Sayers]
-
A.
Erica Sayers
chosen
Erica Sayers is a character in the psychological thriller film "Black Swan," serving as the overbearing and emotionally manipulative mother of the protagonist, Nina.
-
B.
Erica Hill
Erica Hill is an American journalist and television news anchor known for her work on major networks including CNN and NBC.
-
C.
Erica Shepherd
Erica Shepherd is a fictional character portrayed by Jennifer Carpenter, best known as the brilliant but notorious former CIA operative at the center of the TV series "The Enemy Within."
-
D.
Erica Sutton
Erica Sutton is a supporting character in the romantic comedy film "40 Days and 40 Nights," involved in the protagonist's life during his vow of celibacy.
-
E.
Erica Huggins
Erica Huggins is a film producer known for her work on major Hollywood comedies and studio features.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1fc9688190aacc2eed64229b79 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef822a90e48190874a87bd9a634685 |
completed | April 27, 2026, 3:35 p.m. |
Created at: April 8, 2026, 9:36 p.m.