Triple
T16170733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Sipowicz |
E392426
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Theo Sipowicz
Theo Sipowicz is a fictional character from the television series "NYPD Blue," known as the young son of main character Detective Andy Sipowicz.
|
E1198944
|
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: Theo Sipowicz | Statement: [Andy Sipowicz, child, Theo Sipowicz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo Sipowicz Context triple: [Andy Sipowicz, child, Theo Sipowicz]
-
A.
Andy Sipowicz
Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
-
B.
Dennis Austin
Dennis Austin was a software engineer best known as the co-creator and principal developer of Microsoft PowerPoint, originally developed at Forethought Inc.
-
C.
Bill Smitrovich
Bill Smitrovich is an American character actor known for his numerous film and television roles, often portraying authoritative or paternal figures.
-
D.
Mike Dexter
Mike Dexter is the popular, arrogant high school jock and primary antagonist in the teen comedy film "Can’t Hardly Wait."
-
E.
Don Flack
Don Flack is a tough, street-smart NYPD homicide detective featured as a central character in the television series CSI: NY.
- 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: Theo Sipowicz Triple: [Andy Sipowicz, child, Theo Sipowicz]
Generated description
Theo Sipowicz is a fictional character from the television series "NYPD Blue," known as the young son of main character Detective Andy Sipowicz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theo Sipowicz Target entity description: Theo Sipowicz is a fictional character from the television series "NYPD Blue," known as the young son of main character Detective Andy Sipowicz.
-
A.
Andy Sipowicz
Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
-
B.
Dennis Austin
Dennis Austin was a software engineer best known as the co-creator and principal developer of Microsoft PowerPoint, originally developed at Forethought Inc.
-
C.
Bill Smitrovich
Bill Smitrovich is an American character actor known for his numerous film and television roles, often portraying authoritative or paternal figures.
-
D.
Mike Dexter
Mike Dexter is the popular, arrogant high school jock and primary antagonist in the teen comedy film "Can’t Hardly Wait."
-
E.
Don Flack
Don Flack is a tough, street-smart NYPD homicide detective featured as a central character in the television series CSI: NY.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffefc3e088190975ecbdaeba7ee84 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a000086586c8190b5d93740f5b452a0 |
completed | May 10, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000e385bc819080e63ced564fe77b |
completed | May 10, 2026, 3:52 a.m. |
Created at: April 10, 2026, 5:02 a.m.