Triple
T7854403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenandoah |
E182135
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Rosemary Forsyth
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
|
E714836
|
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: Rosemary Forsyth | Statement: [Shenandoah, starring, Rosemary Forsyth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosemary Forsyth Context triple: [Shenandoah, starring, Rosemary Forsyth]
-
A.
Rosemary Squire
Rosemary Squire is a prominent British theatre entrepreneur and producer, best known as the co-founder and former joint chief executive of the Ambassador Theatre Group, one of the world’s largest live theatre companies.
-
B.
Rosemary Burrows
Rosemary Burrows is a costume designer best known for her work on the British comedy film "Carry On Cleo."
-
C.
Rosemary Thorpe
Rosemary Thorpe is a person notable enough to be recognized as a significant bearer of the surname Thorpe.
-
D.
Philippa Cobb
Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
-
E.
Elizabeth Rogers
Elizabeth Rogers was an American actress known for her film and television roles in the 1960s and 1970s.
- 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: Rosemary Forsyth Triple: [Shenandoah, starring, Rosemary Forsyth]
Generated description
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosemary Forsyth Target entity description: Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
A.
Rosemary Squire
Rosemary Squire is a prominent British theatre entrepreneur and producer, best known as the co-founder and former joint chief executive of the Ambassador Theatre Group, one of the world’s largest live theatre companies.
-
B.
Rosemary Burrows
Rosemary Burrows is a costume designer best known for her work on the British comedy film "Carry On Cleo."
-
C.
Rosemary Thorpe
Rosemary Thorpe is a person notable enough to be recognized as a significant bearer of the surname Thorpe.
-
D.
Philippa Cobb
Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
-
E.
Elizabeth Rogers
Elizabeth Rogers was an American actress known for her film and television roles in the 1960s and 1970s.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdbcede08190af889a5228de01f5 |
completed | April 1, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ccc24a39f88190995f076d1a7ec3e7 |
completed | April 1, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccc37f0ca88190b4e077f23dbbe6f8 |
completed | April 1, 2026, 7:04 a.m. |
Created at: March 30, 2026, 4:51 p.m.