Triple

T6299879
Position Surface form Disambiguated ID Type / Status
Subject Gene Reynolds E141225 entity
Predicate producerOf P490 FINISHED
Object Room 222 (TV series) E462020 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: Room 222 (TV series) | Statement: [Gene Reynolds, producerOf, Room 222 (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Room 222 (TV series)
Context triple: [Gene Reynolds, producerOf, Room 222 (TV series)]
  • A. Room 222 chosen
    Room 222 is an American television sitcom that aired from 1969 to 1974, focusing on the lives of teachers and students at a racially diverse Los Angeles high school.
  • B. Room 112
    Room 112 is the self-titled second studio album by the American R&B group 112, known for its smooth harmonies and late-1990s contemporary R&B sound.
  • C. Bel-Air
    Bel-Air is a Paris Métro station located in the 12th arrondissement of Paris, France.
  • D. Bel-Air
    Bel-Air is an upscale residential and commercial barangay in Makati City, Metro Manila, known for its gated villages and proximity to the central business district.
  • E. Bel-Air
    Bel-Air is a central public transport interchange in Geneva, Switzerland, serving as a key node for tram and bus connections across the city.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645a7e048190af7a609fc74b876a completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603fb43688190839af2ffea45df90 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:27 p.m.