Triple

T14080073
Position Surface form Disambiguated ID Type / Status
Subject The Woman King E338841 entity
Predicate mainCharacter P1183 FINISHED
Object Nawi
Nawi is a brave young warrior in the Agojie, the all-female military regiment of the Kingdom of Dahomey, whose journey of training, loyalty, and self-discovery drives the narrative of *The Woman King*.
 E1077052 NE FINISHED

How this triple was built (4 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: Nawi | Statement: [The Woman King, mainCharacter, Nawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nawi
Context triple: [The Woman King, mainCharacter, Nawi]
  • A. Nawar
    Nawar are a traditionally itinerant ethnic group of the Middle East, culturally and linguistically related to the Dom people and often associated with peripatetic trades and marginalized social status.
  • B. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Nawuri
    Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
  • E. Nawalane
    Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Nawi
Triple: [The Woman King, mainCharacter, Nawi]
Generated description
Nawi is a brave young warrior in the Agojie, the all-female military regiment of the Kingdom of Dahomey, whose journey of training, loyalty, and self-discovery drives the narrative of *The Woman King*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nawi
Target entity description: Nawi is a brave young warrior in the Agojie, the all-female military regiment of the Kingdom of Dahomey, whose journey of training, loyalty, and self-discovery drives the narrative of *The Woman King*.
  • A. Nawar
    Nawar are a traditionally itinerant ethnic group of the Middle East, culturally and linguistically related to the Dom people and often associated with peripatetic trades and marginalized social status.
  • B. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Nawuri
    Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
  • E. Nawalane
    Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
  • F. None of above. chosen

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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb672c08081908e1ff9030745776a completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc1208a1481908b9f9a49b9c5ca5b completed May 7, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69fcc19f735c8190a4e765f34abaa672 completed May 7, 2026, 4:45 p.m.
Created at: April 9, 2026, 10:21 p.m.