Triple

T21229630
Position Surface form Disambiguated ID Type / Status
Subject In the Mouth of Madness E523173 entity
Predicate stars P1956 FINISHED
Object Julie Carmen NE NERFINISHED

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: Julie Carmen | Statement: [In the Mouth of Madness, stars, Julie Carmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Carmen
Context triple: [In the Mouth of Madness, stars, Julie Carmen]
  • A. Julie Carmen chosen
    Julie Carmen is an American actress and licensed psychotherapist best known for her roles in films such as "Gloria" (1980), "Milagro Beanfield War," and various television series.
  • B. Julie Lynn
    Julie Lynn is an American film producer known for her work on independent and critically acclaimed movies.
  • C. Julie Dante
    Julie Dante is a fictional character from the television series "Models Inc.," which centers on the lives and dramas of high-fashion models and the agency that represents them.
  • D. Julie Grigio
    Julie Grigio is the resilient human protagonist of the post-apocalyptic paranormal romance novel and film "Warm Bodies," who forms an unlikely bond with a zombie that challenges the boundaries between the living and the dead.
  • E. Julie Corky
    Julie Corky is the adventurous teenage protagonist of the family comedy film "Sleepover."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.