Triple

T19426033
Position Surface form Disambiguated ID Type / Status
Subject Dena Kaye E485981 entity
Predicate hasFirstName P17 FINISHED
Object Dena
Dena is a feminine given name used in various cultures, often as a variant of Dina or Deena.
E1375333 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: Dena | Statement: [Dena Kaye, hasFirstName, Dena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dena
Context triple: [Dena Kaye, hasFirstName, Dena]
  • A. Dena Paona
    Dena Paona is a classic Bengali novel by Sarat Chandra Chattopadhyay that critiques social injustice and the oppression of women within traditional Indian society.
  • B. Piúma
    Piúma is a small coastal city in southeastern Brazil known for its beaches, fishing activities, and shellcraft handicrafts.
  • C. Naharlagun
    Naharlagun is a town in the Papum Pare district of Arunachal Pradesh, India, located near the state capital Itanagar and serving as an important local administrative and transport hub.
  • D. Murias
    Murias are an indigenous tribal community of the Bastar region in central India, known for their distinct cultural traditions, social organization, and art forms.
  • E. Yolosa
    Yolosa is a small Bolivian village in the Nor Yungas region, known as a gateway to the country’s subtropical Yungas valleys and nearby mountain roads.
  • 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: Dena
Triple: [Dena Kaye, hasFirstName, Dena]
Generated description
Dena is a feminine given name used in various cultures, often as a variant of Dina or Deena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dena
Target entity description: Dena is a feminine given name used in various cultures, often as a variant of Dina or Deena.
  • A. Dena Paona
    Dena Paona is a classic Bengali novel by Sarat Chandra Chattopadhyay that critiques social injustice and the oppression of women within traditional Indian society.
  • B. Piúma
    Piúma is a small coastal city in southeastern Brazil known for its beaches, fishing activities, and shellcraft handicrafts.
  • C. Naharlagun
    Naharlagun is a town in the Papum Pare district of Arunachal Pradesh, India, located near the state capital Itanagar and serving as an important local administrative and transport hub.
  • D. Murias
    Murias are an indigenous tribal community of the Bastar region in central India, known for their distinct cultural traditions, social organization, and art forms.
  • E. Yolosa
    Yolosa is a small Bolivian village in the Nor Yungas region, known as a gateway to the country’s subtropical Yungas valleys and nearby mountain roads.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63218772c8190a48b6cb01bd12b73 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d68614819093078d34753ab83d completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a073491b60c8190a41a15410e865219 completed May 15, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a073545b2e48190a8cb78cb25785017 completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:37 p.m.