Triple

T10996145
Position Surface form Disambiguated ID Type / Status
Subject José Abreu E259873 entity
Predicate knownAs P39 FINISHED
Object Pito
Pito is the nickname of José Abreu, a Cuban-born professional baseball first baseman and former American League MVP.
 E898761 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: Pito | Statement: [José Abreu, knownAs, Pito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pito
Context triple: [José Abreu, knownAs, Pito]
  • A. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • B. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • C. Papico
    Papico is a popular Japanese squeezable ice cream treat known for its twin plastic tube packaging and creamy, milkshake-like texture.
  • D. Pocito
    Pocito is a city in western Argentina known for its agricultural production, particularly vineyards and wineries, within San Juan Province.
  • E. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • 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: Pito
Triple: [José Abreu, knownAs, Pito]
Generated description
Pito is the nickname of José Abreu, a Cuban-born professional baseball first baseman and former American League MVP.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pito
Target entity description: Pito is the nickname of José Abreu, a Cuban-born professional baseball first baseman and former American League MVP.
  • A. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • B. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • C. Papico
    Papico is a popular Japanese squeezable ice cream treat known for its twin plastic tube packaging and creamy, milkshake-like texture.
  • D. Pocito
    Pocito is a city in western Argentina known for its agricultural production, particularly vineyards and wineries, within San Juan Province.
  • E. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d6572c8190a47d68483863ad7a completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3452420c08190b9c91a9c8a807670 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e3556fd3548190a33f04604be947cf completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e359508a388190a16d48a17015e13e completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.