Triple

T7122128
Position Surface form Disambiguated ID Type / Status
Subject Charulata E165972 entity
Predicate mainCharacter P1183 FINISHED
Object Amal E385754 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: Amal | Statement: [Charulata, mainCharacter, Amal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amal
Context triple: [Charulata, mainCharacter, Amal]
  • A. Amal chosen
    Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
  • B. Ajami
    Ajami is an adapted form of the Arabic script historically used to write various African languages, including Pulaar, for religious, literary, and administrative purposes.
  • C. Amaala
    Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
  • D. Omeed
    Omeed is a transliterated given name of Persian origin, commonly associated with the name Omid, which means "hope."
  • E. Tareeno
    Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6493fd88190b0c066a2ad74917c completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32e8098819090b88fc920416f6b completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.