Triple

T11630771
Position Surface form Disambiguated ID Type / Status
Subject Amlaíb E276389 entity
Predicate hasVariant P455 FINISHED
Object Amlaive
Amlaive is a variant form of the Old Norse-derived given name Amlaíb, historically used in medieval Gaelic and Norse-Gaelic contexts.
E938547 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: Amlaive | Statement: [Amlaíb, hasVariant, Amlaive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amlaive
Context triple: [Amlaíb, hasVariant, Amlaive]
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Amares
    Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
  • C. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • D. Amvuttra
    Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
  • E. Aegle
    Aegle is a genus of flowering plants in the citrus family, best known for species like the bael tree that bear aromatic, edible fruits and have traditional medicinal uses.
  • 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: Amlaive
Triple: [Amlaíb, hasVariant, Amlaive]
Generated description
Amlaive is a variant form of the Old Norse-derived given name Amlaíb, historically used in medieval Gaelic and Norse-Gaelic contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amlaive
Target entity description: Amlaive is a variant form of the Old Norse-derived given name Amlaíb, historically used in medieval Gaelic and Norse-Gaelic contexts.
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Amares
    Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
  • C. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • D. Amvuttra
    Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
  • E. Aegle
    Aegle is a genus of flowering plants in the citrus family, best known for species like the bael tree that bear aromatic, edible fruits and have traditional medicinal uses.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87a20af481909b47775c7cb6ec3b completed April 26, 2026, 9:46 p.m.
NEDg Description generation batch_69eeb3137f4c8190ba8ac48b2cb419b4 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9845bec81909f0f9b005f75249a completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.