Triple

T22433229
Position Surface form Disambiguated ID Type / Status
Subject Lootera E554548 entity
Predicate productionCompany P490 FINISHED
Object Phantom Films
Phantom Films was an Indian film production and distribution company known for backing critically acclaimed and offbeat Hindi cinema before its dissolution.
E1536425 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: Phantom Films | Statement: [Lootera, productionCompany, Phantom Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phantom Films
Context triple: [Lootera, productionCompany, Phantom Films]
  • A. Phantom Entertainment
    Phantom Entertainment is a music record label associated with releasing works by artists such as The Ghost.
  • B. Diaphana Films
    Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
  • C. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • D. Pandemonium Films
    Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • 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: Phantom Films
Triple: [Lootera, productionCompany, Phantom Films]
Generated description
Phantom Films was an Indian film production and distribution company known for backing critically acclaimed and offbeat Hindi cinema before its dissolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phantom Films
Target entity description: Phantom Films was an Indian film production and distribution company known for backing critically acclaimed and offbeat Hindi cinema before its dissolution.
  • A. Phantom Entertainment
    Phantom Entertainment is a music record label associated with releasing works by artists such as The Ghost.
  • B. Diaphana Films
    Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
  • C. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • D. Pandemonium Films
    Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0f90f5881908f0011690cb0f1e4 completed May 18, 2026, 10:59 a.m.
NEDg Description generation batch_6a0af268db2881908706641ad1e41f79 completed May 18, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:47 p.m.