Triple

T14080072
Position Surface form Disambiguated ID Type / Status
Subject The Woman King E338841 entity
Predicate mainCharacter P1183 FINISHED
Object Nanisca
Nanisca is a fierce and strategic general of the all-female Agojie warriors in the historical epic film "The Woman King."
 E1077051 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: Nanisca | Statement: [The Woman King, mainCharacter, Nanisca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanisca
Context triple: [The Woman King, mainCharacter, Nanisca]
  • A. Henoko
    Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
  • B. Niúachi
    Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
  • C. Yoriko
    Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
  • D. Kinuko
    Kinuko is a Japanese-born American artist renowned for her richly detailed fantasy and fairy-tale illustrations.
  • E. Nominoe
    Nominoe was a 9th-century Breton leader often regarded as the founder of an independent Brittany for his successful resistance against Frankish rule.
  • 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: Nanisca
Triple: [The Woman King, mainCharacter, Nanisca]
Generated description
Nanisca is a fierce and strategic general of the all-female Agojie warriors in the historical epic film "The Woman King."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanisca
Target entity description: Nanisca is a fierce and strategic general of the all-female Agojie warriors in the historical epic film "The Woman King."
  • A. Henoko
    Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
  • B. Niúachi
    Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
  • C. Yoriko
    Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
  • D. Kinuko
    Kinuko is a Japanese-born American artist renowned for her richly detailed fantasy and fairy-tale illustrations.
  • E. Nominoe
    Nominoe was a 9th-century Breton leader often regarded as the founder of an independent Brittany for his successful resistance against Frankish rule.
  • 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.