Triple

T14896689
Position Surface form Disambiguated ID Type / Status
Subject Shrek the Halls E359894 entity
Predicate producer P490 FINISHED
Object Gina Shay E453079 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: Gina Shay | Statement: [Shrek the Halls, producer, Gina Shay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina Shay
Context triple: [Shrek the Halls, producer, Gina Shay]
  • A. Gina Shay chosen
    Gina Shay is an American film producer best known for her work on animated features at DreamWorks Animation, including the hit musical comedy "Trolls."
  • B. Gina
    Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
  • C. Gina Gray
    Gina Gray is a character in the television series "Peaky Blinders," known as the ambitious and sharp-tongued wife of Michael Gray who becomes increasingly involved in the Shelby family's criminal affairs.
  • D. Ginjer Buchanan
    Ginjer Buchanan is an American science fiction and fantasy editor best known for her influential work at Ace Books and for winning the Hugo Award for Best Editor, Long Form.
  • E. Rachel Shane
    Rachel Shane is a film and television producer known for her executive work on various high-profile projects, including the TV series "Genius."
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6070b248190be8f4f91a0c0b1f3 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b679fb081908cf8f41acfba3b99 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:11 a.m.