Triple
T10071919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Stevens |
E213649
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Frances Stevens
Frances Stevens is a fictional socialite character best known as the witty and sophisticated heroine played by Grace Kelly in Alfred Hitchcock’s 1955 film "To Catch a Thief."
|
E213649
|
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: Frances Stevens | Statement: [Frances Stevens, name, Frances Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Stevens Context triple: [Frances Stevens, name, Frances Stevens]
-
A.
Frances Stevens
Frances Stevens is a fictional socialite character best known as Grace Kelly’s witty and glamorous role in Alfred Hitchcock’s 1955 film "To Catch a Thief."
-
B.
Ann Stevens
Ann Stevens is the mother of American actor George Hamilton.
-
C.
Elizabeth Stevens
Elizabeth Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
-
D.
Jan Stevens
Jan Stevens is a composer best known for creating music for the television series "Scrubs."
-
E.
Frances Johnston
Frances Johnston was the wife of James Iredell Jr., a governor of North Carolina and associate justice of the United States Supreme Court.
- 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: Frances Stevens Triple: [Frances Stevens, name, Frances Stevens]
Generated description
Frances Stevens is a fictional socialite character best known as the witty and sophisticated heroine played by Grace Kelly in Alfred Hitchcock’s 1955 film "To Catch a Thief."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frances Stevens Target entity description: Frances Stevens is a fictional socialite character best known as the witty and sophisticated heroine played by Grace Kelly in Alfred Hitchcock’s 1955 film "To Catch a Thief."
-
A.
Frances Stevens
chosen
Frances Stevens is a fictional socialite character best known as Grace Kelly’s witty and glamorous role in Alfred Hitchcock’s 1955 film "To Catch a Thief."
-
B.
Ann Stevens
Ann Stevens is the mother of American actor George Hamilton.
-
C.
Elizabeth Stevens
Elizabeth Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
-
D.
Jan Stevens
Jan Stevens is a composer best known for creating music for the television series "Scrubs."
-
E.
Frances Johnston
Frances Johnston was the wife of James Iredell Jr., a governor of North Carolina and associate justice of the United States Supreme Court.
- F. None of above.
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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd01279388190b94c8def00425c78 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f0c0c588190870b2145be187908 |
completed | April 10, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69d8a11d04fc8190a448e7c846d21cb5 |
completed | April 10, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2b82bb48190899f37a967fef444 |
completed | April 10, 2026, 7:11 a.m. |
Created at: March 30, 2026, 8:59 p.m.