Triple

T17330142
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Tyng E420790 entity
Predicate familyName P18 FINISHED
Object Tyng
Tyng is a surname of English origin borne by various notable individuals, including figures in American history and architecture.
E1262781 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: Tyng | Statement: [Rebecca Tyng, familyName, Tyng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyng
Context triple: [Rebecca Tyng, familyName, Tyng]
  • A. Terling
    Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
  • B. Tealing
    Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
  • C. Tysso
    Tysso is a river in the municipality of Ulvik in western Norway, known for flowing through a scenic fjord landscape.
  • D. Tintal
    Tintal is a major ancient Maya archaeological site in northern Guatemala, notable for its large-scale urban remains and its role within the Mirador Basin civilization.
  • E. Titsey
    Titsey is a small rural village and civil parish in Surrey, England, known for its historic estate and scenic countryside near the North Downs.
  • 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: Tyng
Triple: [Rebecca Tyng, familyName, Tyng]
Generated description
Tyng is a surname of English origin borne by various notable individuals, including figures in American history and architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tyng
Target entity description: Tyng is a surname of English origin borne by various notable individuals, including figures in American history and architecture.
  • A. Terling
    Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
  • B. Tealing
    Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
  • C. Tysso
    Tysso is a river in the municipality of Ulvik in western Norway, known for flowing through a scenic fjord landscape.
  • D. Tintal
    Tintal is a major ancient Maya archaeological site in northern Guatemala, notable for its large-scale urban remains and its role within the Mirador Basin civilization.
  • E. Titsey
    Titsey is a small rural village and civil parish in Surrey, England, known for its historic estate and scenic countryside near the North Downs.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d5c788819092bdc4d3de0ec958 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018e85c91081909a6944ff136e8f50 completed May 11, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_6a018f7ebf548190b407ebeacbd4d327 completed May 11, 2026, 8:12 a.m.
Created at: April 10, 2026, 5:43 a.m.