Triple

T16818518
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Colyear E408817 entity
Predicate familyName P18 FINISHED
Object Colyear
Colyear is a British surname historically associated with noble families, including holders of the Earl of Portmore title.
E1235535 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: Colyear | Statement: [Elizabeth Colyear, familyName, Colyear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colyear
Context triple: [Elizabeth Colyear, familyName, Colyear]
  • A. Yearby
    Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
  • B. Jahren
    Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
  • C. Jaren
    Jaren is a village and transport hub in Gran municipality in Innlandet county, Norway, serving as a stop on the rail line north of Oslo.
  • D. Samvatsari
    Samvatsari is the most important Jain festival day of forgiveness and spiritual renewal, marked by seeking and granting pardon for past wrongs.
  • E. Yillah
    Yillah is a mysterious, ethereal woman who serves as a symbolic and spiritual figure in Herman Melville’s novel "Mardi."
  • 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: Colyear
Triple: [Elizabeth Colyear, familyName, Colyear]
Generated description
Colyear is a British surname historically associated with noble families, including holders of the Earl of Portmore title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colyear
Target entity description: Colyear is a British surname historically associated with noble families, including holders of the Earl of Portmore title.
  • A. Yearby
    Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
  • B. Jahren
    Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
  • C. Jaren
    Jaren is a village and transport hub in Gran municipality in Innlandet county, Norway, serving as a stop on the rail line north of Oslo.
  • D. Samvatsari
    Samvatsari is the most important Jain festival day of forgiveness and spiritual renewal, marked by seeking and granting pardon for past wrongs.
  • E. Yillah
    Yillah is a mysterious, ethereal woman who serves as a symbolic and spiritual figure in Herman Melville’s novel "Mardi."
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e476d48190bff097055cc353dc completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b297778c81909a2545c359739151 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b4caae5081909017095977093704 completed May 10, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00b52f58e08190a28506f03fbeda15 completed May 10, 2026, 4:41 p.m.
Created at: April 10, 2026, 5:23 a.m.