Triple

T9131483
Position Surface form Disambiguated ID Type / Status
Subject Danny Bilson E219096 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Trancers E780415 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: Trancers | Statement: [Danny Bilson, wroteScreenplayFor, Trancers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trancers
Context triple: [Danny Bilson, wroteScreenplayFor, Trancers]
  • A. Trancers chosen
    Trancers is a 1984 science fiction cult film blending time travel, noir detective elements, and low-budget action, directed by Charles Band and co-written by Danny Bilson.
  • B. Ghostrider
    Ghostrider is the nickname for a heavily armed variant of the U.S. Air Force AC-130 gunship used for close air support, air interdiction, and armed reconnaissance.
  • C. MabThera
    MabThera is Roche’s brand name for rituximab, a monoclonal antibody used primarily to treat certain types of blood cancers and autoimmune diseases.
  • D. Zentropa
    Zentropa is a Danish film production company co-founded by director Lars von Trier, known for producing numerous acclaimed and often provocative European art-house films.
  • E. Tronzilla
    Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.