Triple
T18072675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Dano |
E432468
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Peggye Dano
Peggye Dano was the wife of American character actor Royal Dano and the mother of actor Hutch Dano.
|
E1303677
|
NE FINISHED |
How this triple was built (4 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: Peggye Dano | Statement: [Royal Dano, spouse, Peggye Dano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggye Dano Context triple: [Royal Dano, spouse, Peggye Dano]
-
A.
Linda Dano
Linda Dano is an American actress and television host best known for her long-running, Emmy-winning work in daytime soap operas.
-
B.
Karin Konoval
Karin Konoval is a Canadian-American actress best known for her motion-capture performance as the orangutan Maurice in the modern Planet of the Apes film series.
-
C.
Jennifer Podemski
Jennifer Podemski is a Canadian film and television actress and producer known for her work highlighting Indigenous stories and representation on screen.
-
D.
Sybil Danning
Sybil Danning is an Austrian actress and cult film icon known for her roles in European exploitation cinema and 1980s genre films.
-
E.
Marian Dunn
Marian Dunn was the wife of Australian novelist and journalist Marcus Clarke, known for her connection to the prominent literary figure of colonial Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peggye Dano Triple: [Royal Dano, spouse, Peggye Dano]
Generated description
Peggye Dano was the wife of American character actor Royal Dano and the mother of actor Hutch Dano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peggye Dano Target entity description: Peggye Dano was the wife of American character actor Royal Dano and the mother of actor Hutch Dano.
-
A.
Linda Dano
Linda Dano is an American actress and television host best known for her long-running, Emmy-winning work in daytime soap operas.
-
B.
Karin Konoval
Karin Konoval is a Canadian-American actress best known for her motion-capture performance as the orangutan Maurice in the modern Planet of the Apes film series.
-
C.
Jennifer Podemski
Jennifer Podemski is a Canadian film and television actress and producer known for her work highlighting Indigenous stories and representation on screen.
-
D.
Sybil Danning
Sybil Danning is an Austrian actress and cult film icon known for her roles in European exploitation cinema and 1980s genre films.
-
E.
Marian Dunn
Marian Dunn was the wife of Australian novelist and journalist Marcus Clarke, known for her connection to the prominent literary figure of colonial Australia.
- F. None of above. chosen
Provenance (5 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03567685fc8190a63da27de99a1101 |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a0357dd52dc8190990b5dc2fe1b4720 |
completed | May 12, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03585051d4819085e4ea76b0a8ea8b |
completed | May 12, 2026, 4:41 p.m. |
Created at: April 10, 2026, 10:26 a.m.