Triple
T6153263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drew Carey Show |
E137256
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Christa Miller
Christa Miller is an American actress best known for her comedic television roles, including prominent parts on series like Scrubs and Cougar Town.
|
E609961
|
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: Christa Miller | Statement: [The Drew Carey Show, starring, Christa Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christa Miller Context triple: [The Drew Carey Show, starring, Christa Miller]
-
A.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
B.
JoAnn Mueller
JoAnn Mueller is best known as the former wife of longtime Los Angeles Lakers owner Jerry Buss.
-
C.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
-
D.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
E.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
- 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: Christa Miller Triple: [The Drew Carey Show, starring, Christa Miller]
Generated description
Christa Miller is an American actress best known for her comedic television roles, including prominent parts on series like Scrubs and Cougar Town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christa Miller Target entity description: Christa Miller is an American actress best known for her comedic television roles, including prominent parts on series like Scrubs and Cougar Town.
-
A.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
B.
JoAnn Mueller
JoAnn Mueller is best known as the former wife of longtime Los Angeles Lakers owner Jerry Buss.
-
C.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
-
D.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
E.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cfe20408190b5ec9b987e1a4206 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eec098348190a01ca8eca035592c |
completed | March 27, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69c6f09ea58c8190bfd8a183581b5a5a |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a0935881908afc30ce76bdf76f |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 22, 2026, 4:16 p.m.