Triple

T474243
Position Surface form Disambiguated ID Type / Status
Subject Zora Neale Hurston E9025 entity
Predicate givenName P17 FINISHED
Object Zora
Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
E62792 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: Zora | Statement: [Zora Neale Hurston, givenName, Zora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zora
Context triple: [Zora Neale Hurston, givenName, Zora]
  • A. Rarámuri
    The Rarámuri, also known as the Tarahumara, are an Indigenous people of northern Mexico renowned for their exceptional long-distance running abilities and traditional way of life in the canyons and mountains of the Sierra Madre.
  • B. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • 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: Zora
Triple: [Zora Neale Hurston, givenName, Zora]
Generated description
Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zora
Target entity description: Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
  • A. Rarámuri
    The Rarámuri, also known as the Tarahumara, are an Indigenous people of northern Mexico renowned for their exceptional long-distance running abilities and traditional way of life in the canyons and mountains of the Sierra Madre.
  • B. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f039f3d88190a7c93ecbf1bf5f58 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a7675a08190985e76c3d3bbd495 completed March 1, 2026, 6:50 p.m.
NEDg Description generation batch_69a48aedd40081908c2cfa99241ed1b6 completed March 1, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_69a48b45acbc8190b41b791584f80275 completed March 1, 2026, 6:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.