Triple

T11345357
Position Surface form Disambiguated ID Type / Status
Subject The Many Saints of Newark E268697 entity
Predicate productionCompany P490 FINISHED
Object HBO Films E18702 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: HBO Films | Statement: [The Many Saints of Newark, productionCompany, HBO Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO Films
Context triple: [The Many Saints of Newark, productionCompany, HBO Films]
  • A. HBO chosen
    HBO is a premium American television and streaming network known for producing influential, high-quality original series, films, and documentaries such as "The Sopranos," "Game of Thrones," and "Succession."
  • B. ThinkFilm
    ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
  • C. Hartswood Films
    Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
  • D. Tapestry Films
    Tapestry Films is an American film production company best known for producing popular teen and romantic comedies in the late 1990s and early 2000s.
  • E. Armory Films
    Armory Films is an American film production company known for financing and producing independent and genre-driven feature films.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5436e9d848190a7e585351d24df03 completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.