Triple
T12333475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The In Crowd |
E294019
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Kim Murphy
Kim Murphy is an actress known for her role in the teen drama film "The In Crowd."
|
E978314
|
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: Kim Murphy | Statement: [The In Crowd, castMember, Kim Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Murphy Context triple: [The In Crowd, castMember, Kim Murphy]
-
A.
Brenda Murphy
Brenda Murphy is a Canadian public figure and community advocate who serves as the lieutenant governor of the province of New Brunswick.
-
B.
Tab Murphy
Tab Murphy is an American screenwriter and director best known for his work on animated and adventure films, including several projects for Walt Disney Feature Animation.
-
C.
Crissy Haslam
Crissy Haslam is an American educator and former First Lady of Tennessee, known for her advocacy on literacy and children's issues during her husband Bill Haslam's governorship.
-
D.
Bria Murphy
Bria Murphy is an American actress, model, and visual artist, best known as the daughter of comedian Eddie Murphy and former model Nicole Mitchell Murphy.
-
E.
Lisa Rowe
Lisa Rowe is a charismatic yet deeply troubled sociopath and fellow patient in the psychiatric drama film "Girl, Interrupted."
- 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: Kim Murphy Triple: [The In Crowd, castMember, Kim Murphy]
Generated description
Kim Murphy is an actress known for her role in the teen drama film "The In Crowd."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Murphy Target entity description: Kim Murphy is an actress known for her role in the teen drama film "The In Crowd."
-
A.
Brenda Murphy
Brenda Murphy is a Canadian public figure and community advocate who serves as the lieutenant governor of the province of New Brunswick.
-
B.
Tab Murphy
Tab Murphy is an American screenwriter and director best known for his work on animated and adventure films, including several projects for Walt Disney Feature Animation.
-
C.
Crissy Haslam
Crissy Haslam is an American educator and former First Lady of Tennessee, known for her advocacy on literacy and children's issues during her husband Bill Haslam's governorship.
-
D.
Bria Murphy
Bria Murphy is an American actress, model, and visual artist, best known as the daughter of comedian Eddie Murphy and former model Nicole Mitchell Murphy.
-
E.
Lisa Rowe
Lisa Rowe is a charismatic yet deeply troubled sociopath and fellow patient in the psychiatric drama film "Girl, Interrupted."
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa367348190b3991f256586a331 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62d0377348190b7c227cad70286ac |
completed | May 2, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62dc269e88190acce761f77d44654 |
completed | May 2, 2026, 5 p.m. |
Created at: April 8, 2026, 9:53 p.m.