Triple
T16652695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvin Sargent |
E404645
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joan Camden
Joan Camden was an American actress known for her supporting roles in film and television during the mid-20th century.
|
E1226619
|
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: Joan Camden | Statement: [Alvin Sargent, spouse, Joan Camden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Camden Context triple: [Alvin Sargent, spouse, Joan Camden]
-
A.
Katherine Bishop
Katherine Bishop is a fictional Marvel Comics character best known as the young archer hero Kate Bishop, who takes up the Hawkeye mantle.
-
B.
Joan Stewart
Joan Stewart was a Scottish noblewoman of the 16th century, known as the daughter of Henry Stewart, 1st Lord Methven, and a member of the influential Stewart family.
-
C.
Joan Valentine
Joan Valentine is a quick-witted, resourceful young woman who works as a journalist and adventurer in P. G. Wodehouse’s comic fiction.
-
D.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
E.
Alex Scott
Alex Scott is a former England international footballer who became a prominent British sports broadcaster and television presenter.
- 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: Joan Camden Triple: [Alvin Sargent, spouse, Joan Camden]
Generated description
Joan Camden was an American actress known for her supporting roles in film and television during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Camden Target entity description: Joan Camden was an American actress known for her supporting roles in film and television during the mid-20th century.
-
A.
Katherine Bishop
Katherine Bishop is a fictional Marvel Comics character best known as the young archer hero Kate Bishop, who takes up the Hawkeye mantle.
-
B.
Joan Stewart
Joan Stewart was a Scottish noblewoman of the 16th century, known as the daughter of Henry Stewart, 1st Lord Methven, and a member of the influential Stewart family.
-
C.
Joan Valentine
Joan Valentine is a quick-witted, resourceful young woman who works as a journalist and adventurer in P. G. Wodehouse’s comic fiction.
-
D.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
E.
Alex Scott
Alex Scott is a former England international footballer who became a prominent British sports broadcaster and television presenter.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf861348190b2b0b5574d4ddb4f |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c4c6a08190874264b2840fc70d |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00867b9314819080775dff976f93bd |
completed | May 10, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00874646c081908d8a83dd8fd44941 |
completed | May 10, 2026, 1:25 p.m. |
Created at: April 10, 2026, 5:18 a.m.