Triple
T7560424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle |
E178779
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Susan Sullivan
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
|
E705777
|
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: Susan Sullivan | Statement: [Castle, starring, Susan Sullivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Sullivan Context triple: [Castle, starring, Susan Sullivan]
-
A.
Tricia Sullivan
Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
-
B.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
-
C.
Shirley Sullivan
Shirley Sullivan is best known as the mother of American actor Cuba Gooding Jr.
-
D.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
E.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
- 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: Susan Sullivan Triple: [Castle, starring, Susan Sullivan]
Generated description
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Sullivan Target entity description: Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
-
A.
Tricia Sullivan
Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
-
B.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
-
C.
Shirley Sullivan
Shirley Sullivan is best known as the mother of American actor Cuba Gooding Jr.
-
D.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
E.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc55bdf8c0819083b61987d70f21ca |
completed | March 31, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69cc5822581481908a143376bee599ec |
completed | March 31, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc58f549388190ba6c8b41c0820cd6 |
completed | March 31, 2026, 11:29 p.m. |
Created at: March 27, 2026, 3:50 p.m.