Triple

T1637367
Position Surface form Disambiguated ID Type / Status
Subject Welcome to Marwen E35386 entity
Predicate stars P1956 FINISHED
Object Steve Carell E183574 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: Steve Carell | Statement: [Welcome to Marwen, stars, Steve Carell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Carell
Context triple: [Welcome to Marwen, stars, Steve Carell]
  • A. Steve Carell chosen
    Steve Carell is an American actor and comedian best known for his role as Michael Scott on the U.S. version of "The Office" and for starring in numerous successful comedy and drama films.
  • B. David Hyde Pierce
    David Hyde Pierce is an American actor best known for his Emmy-winning role as Dr. Niles Crane on the television sitcom "Frasier."
  • C. Bill Murray
    Bill Murray is an American actor and comedian renowned for his deadpan humor and iconic roles in films such as "Ghostbusters," "Groundhog Day," and "Lost in Translation."
  • D. Drew Carey
    Drew Carey is an American comedian, actor, and game show host best known for "The Drew Carey Show" and hosting "Whose Line Is It Anyway?" and "The Price Is Right."
  • E. Will Ferrell
    Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a192d588190bbfa4693ed787c05 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6099979481908e2c506323d546dd completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.