Triple

T25255698
Position Surface form Disambiguated ID Type / Status
Subject Kannada cinema E633167 entity
Predicate firstTalkieFilm P154034 FINISHED
Object Sati Sulochana
Sati Sulochana is a landmark 1934 Indian film celebrated as the first sound feature in the history of Kannada cinema.
 E1674298 NE FINISHED

How this triple was built (3 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: Sati Sulochana | Statement: [Kannada cinema, firstTalkieFilm, Sati Sulochana]
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: Sati Sulochana
Triple: [Kannada cinema, firstTalkieFilm, Sati Sulochana]
Generated description
Sati Sulochana is a landmark 1934 Indian film celebrated as the first sound feature in the history of Kannada cinema.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstTalkieFilm
Context triple: [Kannada cinema, firstTalkieFilm, Sati Sulochana]
  • A. firstSoundFilm chosen
    Indicates that the subject is the earliest film to incorporate synchronized recorded sound (as opposed to being a silent film).
  • B. firstFeatureAnimatedFilm
    Indicates that the subject is the first animated feature film associated with, or fulfilling a particular role or distinction for, the object.
  • C. firstFeatureFilmRelease
    Indicates the date or event of an entity’s debut feature-length film being publicly released.
  • D. firstUsedInFeatureFilm
    Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
  • E. firstFilmTitle
    Indicates the title of the first film associated with a given entity.
  • F. None of above.

Provenance (6 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_69e75a922ad481908f4f1f884583cb42 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f7886be6d8819095ec62e4f2cee858 completed May 3, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075d2df1881908ce18838c71f16e5 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076d69a948190a72c4e681021150c completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10776edaf8819086cfe23f2dea8a29 completed May 22, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69f7841440f48190b4346c08855951d2 completed May 3, 2026, 5:21 p.m.
Created at: April 21, 2026, 1:13 p.m.