Triple

T15876016
Position Surface form Disambiguated ID Type / Status
Subject Vis and Ramin E384954 entity
Predicate hasProtagonistRole P21567 FINISHED
Object Ramin is the male protagonist E11822 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: Ramin is the male protagonist | Statement: [Vis and Ramin, hasProtagonistRole, Ramin is the male protagonist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramin is the male protagonist
Context triple: [Vis and Ramin, hasProtagonistRole, Ramin is the male protagonist]
  • A. Ramin chosen
    Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
  • B. Arash
    Arash is a Persian given name commonly used for males, often associated with the legendary archer hero in Iranian mythology.
  • C. Vis and Ramin
    Vis and Ramin is a classic medieval Persian romantic epic, renowned as one of the earliest and most influential love stories in Persian literature.
  • D. Amir
    Amir is a noble and military title historically used across the Islamic world, often denoting a commander, prince, or high-ranking leader.
  • E. Amir
    Amir is the conflicted Afghan protagonist of "The Kite Runner," whose journey is defined by childhood betrayal, guilt, and a quest for redemption.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.