Triple

T6244982
Position Surface form Disambiguated ID Type / Status
Subject Laínez E139697 entity
Predicate hasVariant P455 FINISHED
Object Laynez
Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
 E579039 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: Laynez | Statement: [Laínez, hasVariant, Laynez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laynez
Context triple: [Laínez, hasVariant, Laynez]
  • A. Laino
    Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
  • B. Lehna
    Lehna, later known as Guru Angad, was the second Sikh Guru and a key early leader in consolidating and spreading Sikhism after Guru Nanak.
  • C. Follaz
    Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
  • D. Lunice
    Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
  • E. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • 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: Laynez
Triple: [Laínez, hasVariant, Laynez]
Generated description
Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laynez
Target entity description: Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
  • A. Laino
    Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
  • B. Lehna
    Lehna, later known as Guru Angad, was the second Sikh Guru and a key early leader in consolidating and spreading Sikhism after Guru Nanak.
  • C. Follaz
    Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
  • D. Lunice
    Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
  • E. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631c63d48190a41ec1232aecb373 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e12fa248190ad9daaf9563d38c6 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c214aaef308190be1166c1389bf3d3 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c21508dbec8190b9bb4806a83ecb13 completed March 24, 2026, 4:37 a.m.
Created at: March 22, 2026, 4:23 p.m.