Triple

T21251106
Position Surface form Disambiguated ID Type / Status
Subject Sebastiane E523745 entity
Predicate distributor P1951 FINISHED
Object Cinegate
Cinegate is a film distribution company known for handling the release of various independent and art-house films.
 E1473459 NE FINISHED

How this triple was built (4 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: Cinegate | Statement: [Sebastiane, distributor, Cinegate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cinegate
Context triple: [Sebastiane, distributor, Cinegate]
  • A. Mud Gate
    Mud Gate is one of the main city gates of King’s Landing in the world of *A Song of Ice and Fire* and *Game of Thrones*, serving as a heavily trafficked entrance from the river and surrounding lands.
  • B. Skidegate
    Skidegate is a Haida community and ferry terminal village located on Graham Island in Haida Gwaii, off the northern coast of British Columbia, Canada.
  • C. Pile Gate
    Pile Gate is the main historic entrance to Dubrovnik’s Old City, featuring monumental stone fortifications and a drawbridge leading through the city walls.
  • D. Canongate
    Canongate is a historic street and district in Edinburgh’s Old Town, known for its royal connections and significant civic and religious buildings.
  • E. Owengate
    Owengate is a historic gateway and street in Durham, England, leading into the cathedral precinct near Palace Green.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cinegate
Triple: [Sebastiane, distributor, Cinegate]
Generated description
Cinegate is a film distribution company known for handling the release of various independent and art-house films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cinegate
Target entity description: Cinegate is a film distribution company known for handling the release of various independent and art-house films.
  • A. Mud Gate
    Mud Gate is one of the main city gates of King’s Landing in the world of *A Song of Ice and Fire* and *Game of Thrones*, serving as a heavily trafficked entrance from the river and surrounding lands.
  • B. Skidegate
    Skidegate is a Haida community and ferry terminal village located on Graham Island in Haida Gwaii, off the northern coast of British Columbia, Canada.
  • C. Pile Gate
    Pile Gate is the main historic entrance to Dubrovnik’s Old City, featuring monumental stone fortifications and a drawbridge leading through the city walls.
  • D. Canongate
    Canongate is a historic street and district in Edinburgh’s Old Town, known for its royal connections and significant civic and religious buildings.
  • E. Owengate
    Owengate is a historic gateway and street in Durham, England, leading into the cathedral precinct near Palace Green.
  • F. None of above. chosen

Provenance (5 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359e90d881909b3153f1e7213c5c completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986fc426c819094643368db94512c completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0987eca8388190b730beda18ce9fa0 completed May 17, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a09885d7178819093003533c7785dd8 completed May 17, 2026, 9:20 a.m.
Created at: April 16, 2026, 3:56 p.m.