Triple

T19269971
Position Surface form Disambiguated ID Type / Status
Subject Tiye (secondary wife) E481895 entity
Predicate alternativeName P39 FINISHED
Object Tiy
Tiy was an ancient Egyptian woman known primarily as a secondary wife of Pharaoh Amenhotep III, distinct from his Great Royal Wife, Queen Tiye.
 E1368256 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: Tiy | Statement: [Tiye (secondary wife), alternativeName, Tiy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiy
Context triple: [Tiye (secondary wife), alternativeName, Tiy]
  • A. Tiu
    Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
  • B. Tyin
    Tyin is a mountain lake and surrounding highland area in Norway, known for its scenic landscapes, hiking opportunities, and role as a gateway to the Jotunheimen mountains.
  • C. Tiyo
    Tiyo is a given name most notably associated with Tiyo Soga, a pioneering 19th-century South African Xhosa Presbyterian minister and intellectual.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. Teni
    Teni is a Nigerian singer-songwriter and entertainer known for her catchy Afropop hits and playful, charismatic style.
  • 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: Tiy
Triple: [Tiye (secondary wife), alternativeName, Tiy]
Generated description
Tiy was an ancient Egyptian woman known primarily as a secondary wife of Pharaoh Amenhotep III, distinct from his Great Royal Wife, Queen Tiye.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiy
Target entity description: Tiy was an ancient Egyptian woman known primarily as a secondary wife of Pharaoh Amenhotep III, distinct from his Great Royal Wife, Queen Tiye.
  • A. Tiu
    Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
  • B. Tyin
    Tyin is a mountain lake and surrounding highland area in Norway, known for its scenic landscapes, hiking opportunities, and role as a gateway to the Jotunheimen mountains.
  • C. Tiyo
    Tiyo is a given name most notably associated with Tiyo Soga, a pioneering 19th-century South African Xhosa Presbyterian minister and intellectual.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. Teni
    Teni is a Nigerian singer-songwriter and entertainer known for her catchy Afropop hits and playful, charismatic style.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb74ec48190a58d96b4b5b9af00 completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e70bf7881909674b254e7968b55 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f8b626c819083a31123cd6035cf completed May 15, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a071018f61881908ace460b83dac186 completed May 15, 2026, 12:22 p.m.
Created at: April 10, 2026, 1:29 p.m.