Triple
T8129644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes Day |
E189821
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Molly Sims
Molly Sims is an American model and actress known for her work in fashion and roles in film and television comedies.
|
E720236
|
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: Molly Sims | Statement: [Yes Day, castMember, Molly Sims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Sims Context triple: [Yes Day, castMember, Molly Sims]
-
A.
Molly Madden
Molly Madden is an entertainment industry professional best known as a founder of the talent management and production company 3 Arts Entertainment.
-
B.
Molly Cregg
Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
-
C.
Molly Stark
Molly Stark was the wife of American Revolutionary War General John Stark, remembered in part through his famous battle cry invoking her name at the Battle of Bennington.
-
D.
Molly McCauley
Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
-
E.
Molly Kelly
Molly Kelly is one of the children of Laura Kelly, the governor of Kansas.
- 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: Molly Sims Triple: [Yes Day, castMember, Molly Sims]
Generated description
Molly Sims is an American model and actress known for her work in fashion and roles in film and television comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molly Sims Target entity description: Molly Sims is an American model and actress known for her work in fashion and roles in film and television comedies.
-
A.
Molly Madden
Molly Madden is an entertainment industry professional best known as a founder of the talent management and production company 3 Arts Entertainment.
-
B.
Molly Cregg
Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
-
C.
Molly Stark
Molly Stark was the wife of American Revolutionary War General John Stark, remembered in part through his famous battle cry invoking her name at the Battle of Bennington.
-
D.
Molly McCauley
Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
-
E.
Molly Kelly
Molly Kelly is one of the children of Laura Kelly, the governor of Kansas.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3457196081909f739af8c17b4d4c |
completed | April 1, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69cd36ecc1d88190a978f1d51b0e1382 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4e9d362481908283d58b03c7ef9b |
completed | April 1, 2026, 4:58 p.m. |
Created at: March 30, 2026, 5:34 p.m.