Triple
T5590779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloweentown |
E146870
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Kimberly J. Brown
Kimberly J. Brown is an American actress best known for playing Marnie Piper in Disney Channel’s Halloweentown film series.
|
E529991
|
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: Kimberly J. Brown | Statement: [Halloweentown, mainCastMember, Kimberly J. Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly J. Brown Context triple: [Halloweentown, mainCastMember, Kimberly J. Brown]
-
A.
Adrienne A. Jones
Adrienne A. Jones is an American politician who serves as the Speaker of the Maryland House of Delegates and is the first African American and first woman to hold that position.
-
B.
Monika M. Richardson
Monika M. Richardson is the wife of American voice actor Kevin Michael Richardson.
-
C.
Cherelle L. Parker
Cherelle L. Parker is an American politician who serves as the mayor of Philadelphia and is the first woman elected to the position in the city's history.
-
D.
Nirine S. Brown
Nirine S. Brown is an actress known for her role in the psychological horror-thriller television series "Swarm."
-
E.
Kimberly S. Budd
Kimberly S. Budd is an American jurist who serves as the Chief Justice of the Massachusetts Supreme Judicial Court.
- 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: Kimberly J. Brown Triple: [Halloweentown, mainCastMember, Kimberly J. Brown]
Generated description
Kimberly J. Brown is an American actress best known for playing Marnie Piper in Disney Channel’s Halloweentown film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimberly J. Brown Target entity description: Kimberly J. Brown is an American actress best known for playing Marnie Piper in Disney Channel’s Halloweentown film series.
-
A.
Adrienne A. Jones
Adrienne A. Jones is an American politician who serves as the Speaker of the Maryland House of Delegates and is the first African American and first woman to hold that position.
-
B.
Monika M. Richardson
Monika M. Richardson is the wife of American voice actor Kevin Michael Richardson.
-
C.
Cherelle L. Parker
Cherelle L. Parker is an American politician who serves as the mayor of Philadelphia and is the first woman elected to the position in the city's history.
-
D.
Nirine S. Brown
Nirine S. Brown is an actress known for her role in the psychological horror-thriller television series "Swarm."
-
E.
Kimberly S. Budd
Kimberly S. Budd is an American jurist who serves as the Chief Justice of the Massachusetts Supreme Judicial Court.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a1d4cc8190a52264dfba6aa011 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286852148190ad4975fe746d7001 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03cd1650c8190b4673c479e151cf3 |
completed | March 22, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03d6839dc8190ae05e661c4844211 |
completed | March 22, 2026, 7:05 p.m. |
Created at: March 22, 2026, 3:38 p.m.