Triple
T22002564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloweentown High |
E543366
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
J. Paul Zimmerman
J. Paul Zimmerman is an American actor best known for playing Dylan Piper in Disney Channel’s Halloweentown film series.
|
E1549554
|
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: J. Paul Zimmerman | Statement: [Halloweentown High, mainCastMember, J. Paul Zimmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. Paul Zimmerman Context triple: [Halloweentown High, mainCastMember, J. Paul Zimmerman]
-
A.
John W. Zimmerman
John W. Zimmerman is a notable individual associated with Meadville, Pennsylvania, recognized for his significance to the city's history or community.
-
B.
Paul D. Zimmerman
Paul D. Zimmerman was an American screenwriter and film critic best known for writing the screenplay for Martin Scorsese’s dark comedy film "The King of Comedy."
-
C.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
D.
Harold Zimmerman
Harold Zimmerman is an alias used by Harold Finch, the reclusive billionaire software genius from the television series "Person of Interest."
-
E.
Daniel M. Ziegler
Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
- 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: J. Paul Zimmerman Triple: [Halloweentown High, mainCastMember, J. Paul Zimmerman]
Generated description
J. Paul Zimmerman is an American actor best known for playing Dylan Piper in Disney Channel’s Halloweentown film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J. Paul Zimmerman Target entity description: J. Paul Zimmerman is an American actor best known for playing Dylan Piper in Disney Channel’s Halloweentown film series.
-
A.
John W. Zimmerman
John W. Zimmerman is a notable individual associated with Meadville, Pennsylvania, recognized for his significance to the city's history or community.
-
B.
Paul D. Zimmerman
Paul D. Zimmerman was an American screenwriter and film critic best known for writing the screenplay for Martin Scorsese’s dark comedy film "The King of Comedy."
-
C.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
D.
Harold Zimmerman
Harold Zimmerman is an alias used by Harold Finch, the reclusive billionaire software genius from the television series "Person of Interest."
-
E.
Daniel M. Ziegler
Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276bf2a48190910d9c27f1c5e74f |
completed | April 28, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73cd90048190972ae88b6828f84a |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7ad64f38819086f403627f196573 |
completed | May 18, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7b1cc47081909f58b3462077c323 |
completed | May 18, 2026, 8:48 p.m. |
Created at: April 16, 2026, 8:20 p.m.