Triple

T3860299
Position Surface form Disambiguated ID Type / Status
Subject Society of the Snow E90117 entity
Predicate basedOnAuthor P2806 FINISHED
Object Pablo Vierci
Pablo Vierci is a Uruguayan journalist and writer best known for his nonfiction work about the 1972 Andes plane crash, which inspired the film "Society of the Snow."
E394564 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: Pablo Vierci | Statement: [Society of the Snow, basedOnAuthor, Pablo Vierci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pablo Vierci
Context triple: [Society of the Snow, basedOnAuthor, Pablo Vierci]
  • A. Fernando Donis
    Fernando Donis is a Mexican architect known for designing prominent landmark structures, including the iconic Dubai Frame.
  • B. Claudio Fogolin
    Claudio Fogolin was an Italian entrepreneur and automotive pioneer best known as one of the founders behind the historic car manufacturer Lancia.
  • C. Alberto Verso
    Alberto Verso is an Italian costume designer known for his work on films such as "Tea with Mussolini."
  • D. Sergio Chiamparino
    Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
  • E. Pablo Berger
    Pablo Berger is a Spanish film director and screenwriter best known internationally for his acclaimed silent black-and-white film "Blancanieves."
  • 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: Pablo Vierci
Triple: [Society of the Snow, basedOnAuthor, Pablo Vierci]
Generated description
Pablo Vierci is a Uruguayan journalist and writer best known for his nonfiction work about the 1972 Andes plane crash, which inspired the film "Society of the Snow."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pablo Vierci
Target entity description: Pablo Vierci is a Uruguayan journalist and writer best known for his nonfiction work about the 1972 Andes plane crash, which inspired the film "Society of the Snow."
  • A. Fernando Donis
    Fernando Donis is a Mexican architect known for designing prominent landmark structures, including the iconic Dubai Frame.
  • B. Claudio Fogolin
    Claudio Fogolin was an Italian entrepreneur and automotive pioneer best known as one of the founders behind the historic car manufacturer Lancia.
  • C. Alberto Verso
    Alberto Verso is an Italian costume designer known for his work on films such as "Tea with Mussolini."
  • D. Sergio Chiamparino
    Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
  • E. Pablo Berger
    Pablo Berger is a Spanish film director and screenwriter best known internationally for his acclaimed silent black-and-white film "Blancanieves."
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b513013db481908f8fb5f56470c0d0 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137200a08190bd2a78398e03803e completed March 14, 2026, 7:51 a.m.
Created at: March 9, 2026, 3:19 p.m.