Triple

T5822864
Position Surface form Disambiguated ID Type / Status
Subject Enemy of the State E129150 entity
Predicate hasCastMember P2308 FINISHED
Object Seth Green E28784 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: Seth Green | Statement: [Enemy of the State, hasCastMember, Seth Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Green
Context triple: [Enemy of the State, hasCastMember, Seth Green]
  • A. Seth Green chosen
    Seth Green is an American actor, comedian, and producer best known for his voice work on "Family Guy" and for creating and starring in the stop-motion series "Robot Chicken."
  • B. Seth Rogen
    Seth Rogen is a Canadian actor, comedian, writer, producer, and director known for his distinctive laugh and roles in numerous hit comedy films such as "Superbad," "Pineapple Express," and "Knocked Up."
  • C. Paul F. Tompkins
    Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
  • D. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • E. Nate Corddry
    Nate Corddry is an American actor and comedian known for his television work, including prominent roles in series such as "Studio 60 on the Sunset Strip" and "Mom."
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341715bc81909568b00ccc79869d completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfc62a5c81909fa28f08a49dc919 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:53 p.m.