Triple

T2467543
Position Surface form Disambiguated ID Type / Status
Subject Lino Lacedelli E55287 entity
Predicate familyName P18 FINISHED
Object Lacedelli
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
 E270057 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: Lacedelli | Statement: [Lino Lacedelli, familyName, Lacedelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lacedelli
Context triple: [Lino Lacedelli, familyName, Lacedelli]
  • A. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • C. Aricia
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • D. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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: Lacedelli
Triple: [Lino Lacedelli, familyName, Lacedelli]
Generated description
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lacedelli
Target entity description: Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • A. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • C. Aricia
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • D. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179f90e881909c09edb961b13a75 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af195ec8788190ae2f94f7cd86e605 completed March 9, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69af1a28591c8190ab4f3dca260766f5 completed March 9, 2026, 7:06 p.m.
Created at: March 6, 2026, 9:44 p.m.