Triple
T15682183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Young |
E377604
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Mary Sean Young
Mary Sean Young is an American actress best known for her roles in films such as "Blade Runner," "Dune," and "No Way Out."
|
E1171513
|
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 Sean Young | Statement: [Sean Young, birthName, Mary Sean Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Sean Young Context triple: [Sean Young, birthName, Mary Sean Young]
-
A.
Kathleen Robertson
Kathleen Robertson is a Canadian actress known for her roles in television series like "Beverly Hills, 90210" and "Boss," as well as various film and genre projects.
-
B.
Tilly Foster
Tilly Foster is a small hamlet in the Town of Southeast in Putnam County, New York, known historically for its former iron mine and rural character.
-
C.
Carol Bridger
Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
-
D.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
E.
Nicki Lee Foster
Nicki Lee Foster is the daughter of legendary American singer and actress Peggy Lee.
- 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 Sean Young Triple: [Sean Young, birthName, Mary Sean Young]
Generated description
Mary Sean Young is an American actress best known for her roles in films such as "Blade Runner," "Dune," and "No Way Out."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Sean Young Target entity description: Mary Sean Young is an American actress best known for her roles in films such as "Blade Runner," "Dune," and "No Way Out."
-
A.
Kathleen Robertson
Kathleen Robertson is a Canadian actress known for her roles in television series like "Beverly Hills, 90210" and "Boss," as well as various film and genre projects.
-
B.
Tilly Foster
Tilly Foster is a small hamlet in the Town of Southeast in Putnam County, New York, known historically for its former iron mine and rural character.
-
C.
Carol Bridger
Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
-
D.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
E.
Nicki Lee Foster
Nicki Lee Foster is the daughter of legendary American singer and actress Peggy Lee.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee2a33c81908fcd120ca670b309 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fd9c968819098b2552a9deb0445 |
completed | May 9, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff708d42448190a53b90e00721eaa5 |
completed | May 9, 2026, 5:36 p.m. |
Created at: April 10, 2026, 4:16 a.m.