Triple
T15305873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Career Girls |
E365895
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Sara Stewart
Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
|
E1222430
|
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: Sara Stewart | Statement: [Career Girls, hasCastMember, Sara Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Stewart Context triple: [Career Girls, hasCastMember, Sara Stewart]
-
A.
Sara Richardson
Sara Richardson is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
B.
Sara Kingsley
Sara Kingsley is a central character in the television sitcom "Grandfathered," around whom key family and comedic storylines revolve.
-
C.
Sara Whitaker
Sara Whitaker is known as the spouse of Brad Whitaker.
-
D.
Sara Whitaker
Sara Whitaker is a supporting character in the comedy film "Daddy's Home 2," involved in the blended-family holiday chaos central to the movie's plot.
-
E.
Sarah Stoddart
Sarah Stoddart was the wife of English essayist William Hazlitt and a figure connected to the early 19th-century British literary circle.
- 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: Sara Stewart Triple: [Career Girls, hasCastMember, Sara Stewart]
Generated description
Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Stewart Target entity description: Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
-
A.
Sara Richardson
Sara Richardson is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
B.
Sara Kingsley
Sara Kingsley is a central character in the television sitcom "Grandfathered," around whom key family and comedic storylines revolve.
-
C.
Sara Whitaker
Sara Whitaker is known as the spouse of Brad Whitaker.
-
D.
Sara Whitaker
Sara Whitaker is a supporting character in the comedy film "Daddy's Home 2," involved in the blended-family holiday chaos central to the movie's plot.
-
E.
Sarah Stoddart
Sarah Stoddart was the wife of English essayist William Hazlitt and a figure connected to the early 19th-century British literary circle.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007581ba008190a6d558c8f4e861d6 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a007680bc7c81908c81ad690035ed47 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 3:16 a.m.