Triple

T33636822
Position Surface form Disambiguated ID Type / Status
Subject P. S. Bharathi E861720 entity
Predicate editedFilm P14416 FINISHED
Object Bollywood: The Greatest Love Story Ever Told
Bollywood: The Greatest Love Story Ever Told is a documentary film that celebrates the history, music, and cultural impact of Hindi cinema through archival footage and interviews.
E2060264 NE FINISHED

How this triple was built (2 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: Bollywood: The Greatest Love Story Ever Told | Statement: [P. S. Bharathi, editedFilm, Bollywood: The Greatest Love Story Ever Told]
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: Bollywood: The Greatest Love Story Ever Told
Triple: [P. S. Bharathi, editedFilm, Bollywood: The Greatest Love Story Ever Told]
Generated description
Bollywood: The Greatest Love Story Ever Told is a documentary film that celebrates the history, music, and cultural impact of Hindi cinema through archival footage and interviews.

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_69f3498280c48190bcc3494017d14234 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f973ad6c8190a6ec9ac22e9eb9df completed May 3, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3611b3b7b08190a2ac32c1f193c562 completed June 20, 2026, 4:06 a.m.
NEDg Description generation batch_6a3612623dec819088049f2540f38a38 completed June 20, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_6a36133940348190976ba1855cc33c37 completed June 20, 2026, 4:12 a.m.
Created at: May 1, 2026, 1:42 a.m.