Triple

T9739626
Position Surface form Disambiguated ID Type / Status
Subject Donnell Rawlings E236151 entity
Predicate participatedIn P149 FINISHED
Object Guy Code E818727 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: Guy Code | Statement: [Donnell Rawlings, participatedIn, Guy Code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Code
Context triple: [Donnell Rawlings, participatedIn, Guy Code]
  • A. Guy Code chosen
    Guy Code is an MTV2 comedy series in which comedians and entertainers humorously explain and debate the unspoken rules and behaviors expected of men.
  • B. Cheers
    Cheers is a beloved American sitcom set in a Boston bar, renowned for its witty ensemble cast, character-driven humor, and significant influence on television comedy.
  • C. Guys with Kids
    Guys with Kids is an American sitcom that follows three thirty-something fathers navigating the challenges and humor of modern parenthood.
  • D. Guy
    Guy is an influential American R&B group, central to the development of the new jack swing sound in the late 1980s and early 1990s.
  • E. Guy
    Guy is a masculine given name of French origin that has been widely used in English-speaking countries.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccbb6988190a3733c97d520be67 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:22 p.m.