Triple

T15400694
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Southworth Ritter E368305 entity
Predicate notableWork P4 FINISHED
Object Hooperman E368311 NE FINISHED

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: Hooperman | Statement: [Jonathan Southworth Ritter, notableWork, Hooperman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hooperman
Context triple: [Jonathan Southworth Ritter, notableWork, Hooperman]
  • A. Hooperman chosen
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • B. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • C. Carver
    Carver is the given name of Carver A. Mead, a pioneering American electrical engineer and computer scientist known for his foundational work in microelectronics and VLSI design.
  • D. Carver
    Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
  • E. Carver
    Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.