Triple

T9338846
Position Surface form Disambiguated ID Type / Status
Subject Lething dynasty E224712 entity
Predicate hasMember P10 FINISHED
Object Tato
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
 E792644 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: Tato | Statement: [Lething dynasty, hasMember, Tato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tato
Context triple: [Lething dynasty, hasMember, Tato]
  • A. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • B. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • C. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • D. Toda
    Toda is a Southern Dravidian language spoken by the Toda people of the Nilgiri Hills in southern India, known for its highly complex phonology and small speaker population.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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: Tato
Triple: [Lething dynasty, hasMember, Tato]
Generated description
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tato
Target entity description: Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
  • A. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • B. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • C. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • D. Toda
    Toda is a Southern Dravidian language spoken by the Toda people of the Nilgiri Hills in southern India, known for its highly complex phonology and small speaker population.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bace8488190a18c54e03be8410c completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3e28a488190aa9d70b5ceed8727 completed April 4, 2026, 10:11 a.m.
NEDg Description generation batch_69d0e573af788190be4baaa3afb87ca2 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e607944c81909a421828595cd793 completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:40 p.m.