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.