Triple

T25235739
Position Surface form Disambiguated ID Type / Status
Subject Fahadh Faasil E632330 entity
Predicate laterBreakthroughFilm P14390 FINISHED
Object Kerala Cafe NE NERFINISHED

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: Kerala Cafe | Statement: [Fahadh Faasil, laterBreakthroughFilm, Kerala Cafe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterBreakthroughFilm
Context triple: [Fahadh Faasil, laterBreakthroughFilm, Kerala Cafe]
  • A. breakthroughBy
    Indicates that a significant discovery, innovation, or advance was achieved or brought about by a particular agent or entity.
  • B. earlyNotableFilm chosen
    Indicates that the film is among the earlier works in which the subject gained notable recognition or significance.
  • C. breakthroughWorkOf
    Indicates that one work is recognized as the major breakthrough or career-defining achievement of a particular creator or entity.
  • D. gaveBreakthroughTo
    Indicates that one entity provided another entity with a decisive insight, discovery, or advancement that significantly improved their progress or understanding.
  • E. breakthrough
    Indicates a significant and often sudden advance or discovery that overcomes a major obstacle in a process, field, or endeavor.
  • F. None of above.

Provenance (3 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f66c5c13808190887180099745673b completed May 2, 2026, 9:27 p.m.
PD Predicate disambiguation batch_69f66abddc448190a488852f8abdeb2c completed May 2, 2026, 9:21 p.m.
Created at: April 21, 2026, 1:07 p.m.