Triple
T14177660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cooler |
E351373
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Shelly Kaplow
Shelly Kaplow is a down-on-his-luck casino "cooler" whose mere presence is believed to jinx gamblers in the 2003 film *The Cooler*.
|
E1172583
|
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: Shelly Kaplow | Statement: [The Cooler, mainCharacter, Shelly Kaplow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelly Kaplow Context triple: [The Cooler, mainCharacter, Shelly Kaplow]
-
A.
Shelly Pfefferman
Shelly Pfefferman is a central character in the television series "Transparent," portrayed as the outspoken, emotionally complex matriarch of the Pfefferman family.
-
B.
Marla Sokoloff
Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
-
C.
Shelly Rubin
Shelly Rubin is an American philanthropist and arts patron best known as a co-founder of the Rubin Museum of Art in New York City.
-
D.
Sheryl Berkoff
Sheryl Berkoff is a Hollywood makeup artist and jewelry designer best known as the longtime wife of actor Rob Lowe.
-
E.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
- 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: Shelly Kaplow Triple: [The Cooler, mainCharacter, Shelly Kaplow]
Generated description
Shelly Kaplow is a down-on-his-luck casino "cooler" whose mere presence is believed to jinx gamblers in the 2003 film *The Cooler*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shelly Kaplow Target entity description: Shelly Kaplow is a down-on-his-luck casino "cooler" whose mere presence is believed to jinx gamblers in the 2003 film *The Cooler*.
-
A.
Shelly Pfefferman
Shelly Pfefferman is a central character in the television series "Transparent," portrayed as the outspoken, emotionally complex matriarch of the Pfefferman family.
-
B.
Marla Sokoloff
Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
-
C.
Shelly Rubin
Shelly Rubin is an American philanthropist and arts patron best known as a co-founder of the Rubin Museum of Art in New York City.
-
D.
Sheryl Berkoff
Sheryl Berkoff is a Hollywood makeup artist and jewelry designer best known as the longtime wife of actor Rob Lowe.
-
E.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff77d4884c81909d43e590d406feff |
completed | May 9, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff780af73c81909a98f67bd53f7348 |
completed | May 9, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:02 a.m.