Triple
T14765633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Spoons |
E346985
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Erin Gray |
—
|
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: Erin Gray | Statement: [Silver Spoons, featuresActor, Erin Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Gray Context triple: [Silver Spoons, featuresActor, Erin Gray]
-
A.
Erin Gray
chosen
Erin Gray is an American actress best known for her roles in the television series "Buck Rogers in the 25th Century" and "Silver Spoons."
-
B.
Erin Grant
Erin Grant is the fictional single mother and former FBI secretary who becomes a stripper to fight for custody of her daughter in the novel and film "Striptease," portrayed on screen by Demi Moore.
-
C.
Erin Richards
Erin Richards is a Welsh actress and director best known for her role as Barbara Kean in the television series "Gotham."
-
D.
Erin Napier
Erin Napier is an American designer, author, and television personality best known as the co-host of HGTV’s home renovation series “Home Town.”
-
E.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.