Triple
T4836687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie Frost |
E108075
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Mary Davidson
Mary Davidson is a family member of English actress and fashion designer Sadie Frost.
|
E475340
|
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: Mary Davidson | Statement: [Sadie Frost, relative, Mary Davidson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Davidson Context triple: [Sadie Frost, relative, Mary Davidson]
-
A.
Martine Bancroft
Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
-
B.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
C.
Caroline Oates
Caroline Oates is best known as the wife of American character actor Warren Oates, noted for his roles in numerous 1960s and 1970s films and television series.
-
D.
Betty Cuthbert
Betty Cuthbert was an Australian sprinter renowned for winning four Olympic gold medals across the 100 m, 200 m, and 400 m events, earning her the nickname "The Golden Girl."
-
E.
Betty Schaefer
Betty Schaefer is an aspiring young screenwriter who becomes a key romantic and creative foil to Joe Gillis in the classic film noir Sunset Boulevard.
- 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: Mary Davidson Triple: [Sadie Frost, relative, Mary Davidson]
Generated description
Mary Davidson is a family member of English actress and fashion designer Sadie Frost.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Davidson Target entity description: Mary Davidson is a family member of English actress and fashion designer Sadie Frost.
-
A.
Martine Bancroft
Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
-
B.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
C.
Caroline Oates
Caroline Oates is best known as the wife of American character actor Warren Oates, noted for his roles in numerous 1960s and 1970s films and television series.
-
D.
Betty Cuthbert
Betty Cuthbert was an Australian sprinter renowned for winning four Olympic gold medals across the 100 m, 200 m, and 400 m events, earning her the nickname "The Golden Girl."
-
E.
Betty Schaefer
Betty Schaefer is an aspiring young screenwriter who becomes a key romantic and creative foil to Joe Gillis in the classic film noir Sunset Boulevard.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce193488190a618250a5681f3ff |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc054ac819099d6d3dbf415e710 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be60d4fa0c8190b6d197eb3dbafff7 |
completed | March 21, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be61789d388190bc23d7f44cee2e5d |
completed | March 21, 2026, 9:14 a.m. |
Created at: March 20, 2026, 1:25 p.m.