Triple

T11535387
Position Surface form Disambiguated ID Type / Status
Subject Randhir Kapoor E273533 entity
Predicate notableWork P4 FINISHED
Object Lafange
Lafange is a 1975 Hindi-language Bollywood film best known for starring Randhir Kapoor in a leading role.
 E935472 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: Lafange | Statement: [Randhir Kapoor, notableWork, Lafange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lafange
Context triple: [Randhir Kapoor, notableWork, Lafange]
  • A. El Caney
    El Caney is a village near Santiago de Cuba that was the site of a major and fiercely contested battle during the Spanish–American War.
  • B. Hat Creek
    Hat Creek is a small rural community and scenic waterway in Northern California known for its trout fishing, volcanic landscapes, and proximity to Lassen Volcanic National Park.
  • C. Hat Creek
    Hat Creek is a small rural community and historic area in British Columbia, Canada, known for its ranching heritage and location along key travel routes in the province’s interior.
  • D. Chadron
    Chadron is a small city in northwestern Nebraska known as a regional hub for education, outdoor recreation, and access to the Pine Ridge area.
  • E. Wahpekute
    Wahpekute are a historical band of the Eastern Dakota (Sioux) people traditionally associated with regions of present-day Minnesota and surrounding areas.
  • 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: Lafange
Triple: [Randhir Kapoor, notableWork, Lafange]
Generated description
Lafange is a 1975 Hindi-language Bollywood film best known for starring Randhir Kapoor in a leading role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lafange
Target entity description: Lafange is a 1975 Hindi-language Bollywood film best known for starring Randhir Kapoor in a leading role.
  • A. El Caney
    El Caney is a village near Santiago de Cuba that was the site of a major and fiercely contested battle during the Spanish–American War.
  • B. Hat Creek
    Hat Creek is a small rural community and scenic waterway in Northern California known for its trout fishing, volcanic landscapes, and proximity to Lassen Volcanic National Park.
  • C. Hat Creek
    Hat Creek is a small rural community and historic area in British Columbia, Canada, known for its ranching heritage and location along key travel routes in the province’s interior.
  • D. Chadron
    Chadron is a small city in northwestern Nebraska known as a regional hub for education, outdoor recreation, and access to the Pine Ridge area.
  • E. Wahpekute
    Wahpekute are a historical band of the Eastern Dakota (Sioux) people traditionally associated with regions of present-day Minnesota and surrounding areas.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7137a09608190801af2125e2e8095 completed April 21, 2026, 6:04 a.m.
NEDg Description generation batch_69e75db0ed7081909b0a5349c5aa1db4 completed April 21, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69e7ab2c33888190a10b50195edf04f7 completed April 21, 2026, 4:51 p.m.
Created at: April 8, 2026, 9:37 p.m.