Triple
T18011405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treachery |
E430891
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Jennifer Blanc |
—
|
NE NERFINISHED |
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: Jennifer Blanc | Statement: [Treachery, hasCastMember, Jennifer Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Blanc Context triple: [Treachery, hasCastMember, Jennifer Blanc]
-
A.
Jennifer Blanc
chosen
Jennifer Blanc is an American actress and producer known for her work in film and television as well as for frequent collaborations with actor-director Michael Biehn.
-
B.
Tanya Biank
Tanya Biank is an American journalist and author known for her in-depth reporting and books on the lives and challenges of military families.
-
C.
Rebecca Dayan
Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
-
D.
Jennifer Meyer
Jennifer Meyer is an American jewelry designer known for her eponymous fine jewelry line and her marriage to actor Tobey Maguire.
-
E.
Luba Newman
Luba Newman is a member of the Newman family, a family name associated with various notable individuals across cultural and professional fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51fc108819089e6c130a89811bc |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.