Triple

T12860909
Position Surface form Disambiguated ID Type / Status
Subject The Hustle E307583 entity
Predicate hasCastMember P2308 FINISHED
Object Rebel Wilson E199363 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: Rebel Wilson | Statement: [The Hustle, hasCastMember, Rebel Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebel Wilson
Context triple: [The Hustle, hasCastMember, Rebel Wilson]
  • A. Rebel Wilson chosen
    Rebel Wilson is an Australian actress and comedian known for her scene-stealing roles in films like Pitch Perfect and Bridesmaids.
  • B. Melissa McCarthy
    Melissa McCarthy is an American actress and comedian known for her breakout comedic role in "Bridesmaids" and subsequent work in film and television.
  • C. Leslie Jones
    Leslie Jones is an American film editor known for her work on major Hollywood productions, including the feature film "Starsky & Hutch."
  • D. Leslie Jones
    Leslie Jones is an American comedian and actress known for her work on "Saturday Night Live" and roles in films such as the 2016 "Ghostbusters" reboot.
  • E. Aidy Bryant
    Aidy Bryant is an American actress and comedian best known for her work on "Saturday Night Live" and the Hulu series "Shrill."
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54ee6c08190b59c610f6390366c completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:37 p.m.