Triple

T14653368
Position Surface form Disambiguated ID Type / Status
Subject Ghoulies E344047 entity
Predicate writer P1360 FINISHED
Object Luca Bercovici E1111993 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: Luca Bercovici | Statement: [Ghoulies, writer, Luca Bercovici]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luca Bercovici
Context triple: [Ghoulies, writer, Luca Bercovici]
  • A. Luca Bercovici chosen
    Luca Bercovici is an American filmmaker and actor best known for his work in 1980s horror cinema, including directing the cult creature feature "Ghoulies."
  • B. Mario Hezonja
    Mario Hezonja is a Croatian professional basketball player known for his athletic wing play and stints in both the NBA and top European leagues.
  • C. Luca Calvani
    Luca Calvani is an Italian actor known for his work in film, television, and theater, including roles in international productions.
  • D. Luca Villani
    Luca Villani is an individual notable enough to be recognized as a bearer of the surname Villani, though specific widely known public details about him are not clearly established.
  • E. Bojan Bazelli
    Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17283608190a8351b366cac5e4f completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.