Triple
T14697882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caged Heat |
E345210
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Cheryl Smith
Cheryl Smith is an actress known for her role in the 1974 women-in-prison exploitation film "Caged Heat."
|
E1236038
|
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: Cheryl Smith | Statement: [Caged Heat, hasCastMember, Cheryl Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheryl Smith Context triple: [Caged Heat, hasCastMember, Cheryl Smith]
-
A.
Cheryl Johnson
Cheryl Johnson is the wife of American sportscaster Ernie Johnson Jr., known for her long-standing support of his broadcasting career and their family.
-
B.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
C.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
D.
Sherry Smith
Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
-
E.
Cherie Saulter
Cherie Saulter is a film producer best known for her work on the independent romantic drama "Medicine for Melancholy."
- 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: Cheryl Smith Triple: [Caged Heat, hasCastMember, Cheryl Smith]
Generated description
Cheryl Smith is an actress known for her role in the 1974 women-in-prison exploitation film "Caged Heat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheryl Smith Target entity description: Cheryl Smith is an actress known for her role in the 1974 women-in-prison exploitation film "Caged Heat."
-
A.
Cheryl Johnson
Cheryl Johnson is the wife of American sportscaster Ernie Johnson Jr., known for her long-standing support of his broadcasting career and their family.
-
B.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
C.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
D.
Sherry Smith
Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
-
E.
Cherie Saulter
Cherie Saulter is a film producer best known for her work on the independent romantic drama "Medicine for Melancholy."
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00baf8a2648190adf3ad3af118187f |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbb628208190b0be62a333e7e442 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc3a4b888190bd190b9330e2777d |
completed | May 10, 2026, 5:11 p.m. |
Created at: April 10, 2026, 1:28 a.m.