Triple

T1525469
Position Surface form Disambiguated ID Type / Status
Subject The Alchemist E32325 entity
Predicate publisher P29 FINISHED
Object Rocco
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
E214144 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: Rocco | Statement: [The Alchemist, publisher, Rocco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocco
Context triple: [The Alchemist, publisher, Rocco]
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • C. Pasquale
    Pasquale is an Italian masculine given name, traditionally associated with figures of Corsican and Italian heritage such as Pasquale Paoli.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • 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: Rocco
Triple: [The Alchemist, publisher, Rocco]
Generated description
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rocco
Target entity description: Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • C. Pasquale
    Pasquale is an Italian masculine given name, traditionally associated with figures of Corsican and Italian heritage such as Pasquale Paoli.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f7bb60819094774ecc632255de completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeabea0d88190b0bd83aece8c7b55 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeea29fd4819099e1ac22b9ce123f completed March 8, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69adef4913608190824764bd79821a7e completed March 8, 2026, 9:51 p.m.
Created at: March 4, 2026, 7:26 p.m.