Triple

T21744346
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Costas E536745 entity
Predicate hasChild P369 FINISHED
Object Theo Sipowicz NE NERFINISHED

How this triple was built (2 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: [Sylvia Costas, hasChild, Theo Sipowicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo Sipowicz
Context triple: [Sylvia Costas, hasChild, Theo Sipowicz]
  • A. Theo Sipowicz chosen
    Theo Sipowicz is a fictional character from the television series "NYPD Blue," known as the young son of main character Detective Andy Sipowicz.
  • B. Andy Sipowicz
    Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
  • C. 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.
  • D. Peter Malloy
    Peter Malloy is a character in the film "In & Out," portrayed as a charismatic, openly gay television reporter who plays a key role in the story’s exploration of identity and acceptance.
  • E. Melvin Frohike
    Melvin Frohike is a conspiracy-obsessed, tech-savvy hacker and member of the Lone Gunmen trio from The X-Files universe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a75352c8190bcd46759562ee251 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.