Triple

T11318202
Position Surface form Disambiguated ID Type / Status
Subject Ronny Cammareri E268018 entity
Predicate onScreenPartner P46690 FINISHED
Object Cher E92362 NE FINISHED

How this triple was built (3 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: Cher | Statement: [Ronny Cammareri, onScreenPartner, Cher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cher
Context triple: [Ronny Cammareri, onScreenPartner, Cher]
  • A. Cher
    Cher is a department in central France, named after the Cher River and known for its historic towns, vineyards, and agricultural landscapes.
  • B. Cher chosen
    Cher is an American singer, actress, and pop culture icon known for her distinctive contralto voice, decades-spanning career, and hits like "Believe" and "If I Could Turn Back Time."
  • C. Cher
    Cher is the four-letter ISO 15924 script code that designates the Cherokee syllabary writing system.
  • D. Barbara West
    Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
  • E. Cyndi Grecco
    Cyndi Grecco is an American singer best known for performing the upbeat 1970s television theme song "Making Our Dreams Come True" from the sitcom Laverne & Shirley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onScreenPartner
Context triple: [Ronny Cammareri, onScreenPartner, Cher]
  • A. hasOnscreenPartner chosen
    Indicates that one entity appears together with another as a partner within the same onscreen context or scene.
  • B. contentPartner
    Indicates a relationship in which one entity collaborates with another to create, supply, or distribute content.
  • C. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • D. tvPartner
    Indicates that two entities are partners or collaborators in the context of television, such as co-producing, co-presenting, or jointly participating in TV-related activities.
  • E. segmentPartner
    Indicates a partnership relationship between entities within a specific segment, context, or category.
  • F. None of above.

Provenance (4 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
PD Predicate disambiguation batch_69d787ad575081908274280bf75d95fd completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.