Triple

T9565413
Position Surface form Disambiguated ID Type / Status
Subject Dear John E230776 entity
Predicate productionCompany P490 FINISHED
Object Relativity Media E83607 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: Relativity Media | Statement: [Dear John, productionCompany, Relativity Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Relativity Media
Context triple: [Dear John, productionCompany, Relativity Media]
  • A. Relativity Media chosen
    Relativity Media is an American film and media company known for financing, producing, and distributing a wide range of Hollywood movies across various genres.
  • B. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • C. Nine Media Corporation
    Nine Media Corporation is a Philippine media company best known for operating the CNN Philippines news and current affairs television network.
  • D. Gawker Media
    Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
  • E. Cobalt Media Group
    Cobalt Media Group is a film production company known for its involvement in producing the Western drama movie "Open Range."
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.