Triple
T3567550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Siff |
E75486
|
entity |
| Predicate | characterInWork |
P12208
|
FINISHED |
| Object | Billions |
E297718
|
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: Billions | Statement: [Maggie Siff, characterInWork, Billions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billions Context triple: [Maggie Siff, characterInWork, Billions]
-
A.
Billions
chosen
Billions is an American drama television series that explores the power struggles and legal battles between a U.S. Attorney and a hedge fund billionaire in New York's high-finance world.
-
B.
House of Cards
House of Cards is a critically acclaimed American political drama series known for its dark portrayal of power and corruption in Washington, D.C., starring Kevin Spacey and Robin Wright.
-
C.
Succession
Succession is a critically acclaimed HBO drama series that follows the power struggles and family conflicts within a global media dynasty.
-
D.
The House of Cards
The House of Cards is an 18th-century genre painting by French artist Jean-Baptiste-Siméon Chardin, depicting a young boy carefully building a fragile card structure in a quiet, intimate interior scene.
-
E.
White Collar
White Collar is a crime drama television series that follows the unlikely partnership between a charming con artist and an FBI agent as they solve white-collar crimes in New York City.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0ab51d881908f004fae47ab09d9 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402ebfd548190a155fb1e65aefa8d |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.