Triple
T21978177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Foran |
E542763
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susanne Rosser
Susanne Rosser is known as the spouse of American actor and singer Dick Foran.
|
E1535332
|
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: Susanne Rosser | Statement: [Dick Foran, spouse, Susanne Rosser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susanne Rosser Context triple: [Dick Foran, spouse, Susanne Rosser]
-
A.
Suzanne Martin
Suzanne Martin is an American television writer and producer best known for creating the sitcom "Hot in Cleveland."
-
B.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
-
C.
Suzanne Mulkern
Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
-
D.
Suzanne Frank
Suzanne Frank is the private client for Peter Eisenman’s experimental House VI residence, a landmark of deconstructivist architecture.
-
E.
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
- 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: Susanne Rosser Triple: [Dick Foran, spouse, Susanne Rosser]
Generated description
Susanne Rosser is known as the spouse of American actor and singer Dick Foran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susanne Rosser Target entity description: Susanne Rosser is known as the spouse of American actor and singer Dick Foran.
-
A.
Suzanne Martin
Suzanne Martin is an American television writer and producer best known for creating the sitcom "Hot in Cleveland."
-
B.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
-
C.
Suzanne Mulkern
Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
-
D.
Suzanne Frank
Suzanne Frank is the private client for Peter Eisenman’s experimental House VI residence, a landmark of deconstructivist architecture.
-
E.
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248a60708190a9aa8b9b7738c261 |
completed | April 28, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0c93f608190bad457a860e122be |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af20dd3c88190a059ede31daa9c6d |
completed | May 18, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 8:03 p.m.