Triple

T20702769
Position Surface form Disambiguated ID Type / Status
Subject Third Person E508823 entity
Predicate productionCompany P490 FINISHED
Object H Films
H Films is a film and television production company known for developing and producing screen content for various media platforms.
 E1445243 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: H Films | Statement: [Third Person, productionCompany, H Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: H Films
Context triple: [Third Person, productionCompany, H Films]
  • A. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • B. Ruby Films
    Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
  • C. Hidji Films
    Hidji Films is a creative production company and director known for visually distinctive music videos and collaborations with prominent hip-hop and rap artists.
  • D. 86 Films
    86 Films is a film production company known for its work on the independent musical drama "Song One."
  • E. Dohafilms
    Dohafilms is a film production company known for helping produce the 2014 animated adaptation of Kahlil Gibran’s "The Prophet."
  • 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: H Films
Triple: [Third Person, productionCompany, H Films]
Generated description
H Films is a film and television production company known for developing and producing screen content for various media platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: H Films
Target entity description: H Films is a film and television production company known for developing and producing screen content for various media platforms.
  • A. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • B. Ruby Films
    Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
  • C. Hidji Films
    Hidji Films is a creative production company and director known for visually distinctive music videos and collaborations with prominent hip-hop and rap artists.
  • D. 86 Films
    86 Films is a film production company known for its work on the independent musical drama "Song One."
  • E. Dohafilms
    Dohafilms is a film production company known for helping produce the 2014 animated adaptation of Kahlil Gibran’s "The Prophet."
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18cb9cc819095d0669dca037424 completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7f035f4819088fd2f0563a3ebda completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d8aa839c81908be2c3e5c8f54ef5 completed May 16, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_6a08d9784a08819080de2a65fc129e94 completed May 16, 2026, 8:54 p.m.
Created at: April 16, 2026, 12:13 p.m.