Triple

T2815082
Position Surface form Disambiguated ID Type / Status
Subject Perrin E54262 entity
Predicate hasVariant P455 FINISHED
Object Perren
Perren is a given name and surname of European origin, used in various cultures and sometimes appearing as a variant of similar names like Perrin.
 E293928 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: Perren | Statement: [Perrin, hasVariant, Perren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perren
Context triple: [Perrin, hasVariant, Perren]
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Pery
    Pery is a variant spelling of the given name Perry, which is used as a personal name or surname.
  • D. Per-Bast
    Per-Bast was the ancient Egyptian city dedicated to the cat goddess Bastet, later known by the Greeks as Bubastis.
  • E. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • 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: Perren
Triple: [Perrin, hasVariant, Perren]
Generated description
Perren is a given name and surname of European origin, used in various cultures and sometimes appearing as a variant of similar names like Perrin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perren
Target entity description: Perren is a given name and surname of European origin, used in various cultures and sometimes appearing as a variant of similar names like Perrin.
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Pery chosen
    Pery is a variant spelling of the given name Perry, which is used as a personal name or surname.
  • D. Per-Bast
    Per-Bast was the ancient Egyptian city dedicated to the cat goddess Bastet, later known by the Greeks as Bubastis.
  • E. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • F. None of above.

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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4d29488190a32461906dd9ea7e completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9f964081909e422aaf1f026dbb completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf12e3a0819098f28d31434a0c5f completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf9c2d308190b111aa8038c9227a completed March 10, 2026, 8 a.m.
Created at: March 6, 2026, 9:59 p.m.