Triple

T12366128
Position Surface form Disambiguated ID Type / Status
Subject Rio film series E294874 entity
Predicate notableCastMember P7010 FINISHED
Object Tracy Morgan E74792 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: Tracy Morgan | Statement: [Rio film series, notableCastMember, Tracy Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy Morgan
Context triple: [Rio film series, notableCastMember, Tracy Morgan]
  • A. Tracy Morgan chosen
    Tracy Morgan is an American comedian and actor best known for his work on "Saturday Night Live" and the sitcom "30 Rock."
  • B. Drew Morgan
    Drew Morgan is a music producer known for his work on Perfume Genius's critically acclaimed album "Put Your Back N 2 It."
  • C. Hannibal Buress
    Hannibal Buress is an American stand-up comedian, actor, writer, and producer known for his laid-back delivery, sharp observational humor, and roles in shows like "Broad City" and films such as "Spider-Man: Homecoming."
  • D. Wayne Brady
    Wayne Brady is an American actor, comedian, singer, and television personality best known for his improvisational work on "Whose Line Is It Anyway?" and hosting "Let's Make a Deal."
  • E. Dane Cook
    Dane Cook is an American stand-up comedian and actor known for his energetic, observational comedy and roles in films such as "Good Luck Chuck" and "Employee of the Month."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abbaaec8190b388d9dff999da8d completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.