Triple

T7816152
Position Surface form Disambiguated ID Type / Status
Subject Jaya Bhaduri E181010 entity
Predicate notableWork P4 FINISHED
Object Mili
Mili is a 1975 Hindi drama film directed by Hrishikesh Mukherjee, known for Jaya Bhaduri’s acclaimed performance as a spirited young woman facing a terminal illness.
 E694864 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: Mili | Statement: [Jaya Bhaduri, notableWork, Mili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mili
Context triple: [Jaya Bhaduri, notableWork, Mili]
  • A. Mio
    Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
  • B. Mimili
    Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Moiliili
    Moiliili is a historic, culturally diverse neighborhood in urban Honolulu on the island of Oahu, known for its local shops, eateries, and proximity to the University of Hawaiʻi at Mānoa.
  • E. Mica
    Mica is a biblical figure mentioned in the Old Testament as a descendant of King Saul through Mephibosheth.
  • 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: Mili
Triple: [Jaya Bhaduri, notableWork, Mili]
Generated description
Mili is a 1975 Hindi drama film directed by Hrishikesh Mukherjee, known for Jaya Bhaduri’s acclaimed performance as a spirited young woman facing a terminal illness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mili
Target entity description: Mili is a 1975 Hindi drama film directed by Hrishikesh Mukherjee, known for Jaya Bhaduri’s acclaimed performance as a spirited young woman facing a terminal illness.
  • A. Mio
    Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
  • B. Mimili
    Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Moiliili
    Moiliili is a historic, culturally diverse neighborhood in urban Honolulu on the island of Oahu, known for its local shops, eateries, and proximity to the University of Hawaiʻi at Mānoa.
  • E. Mica
    Mica is a biblical figure mentioned in the Old Testament as a descendant of King Saul through Mephibosheth.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1488a2e48190924f44b46f925d87 completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a62569c81908709d814954f667e completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:39 p.m.