Triple

T5727171
Position Surface form Disambiguated ID Type / Status
Subject Bob Netolicky E126292 entity
Predicate familyName P18 FINISHED
Object Netolicky
Netolicky is the surname of Bob Netolicky, an American former professional basketball player known for his career in the American Basketball Association (ABA).
 E542161 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: Netolicky | Statement: [Bob Netolicky, familyName, Netolicky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Netolicky
Context triple: [Bob Netolicky, familyName, Netolicky]
  • A. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Netinera
    Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
  • C. Naristi
    The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
  • D. The Net
    The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
  • E. Noteć
    Noteć is a major river in central-western Poland that flows through regions such as Greater Poland, serving as an important natural waterway and ecological corridor.
  • 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: Netolicky
Triple: [Bob Netolicky, familyName, Netolicky]
Generated description
Netolicky is the surname of Bob Netolicky, an American former professional basketball player known for his career in the American Basketball Association (ABA).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Netolicky
Target entity description: Netolicky is the surname of Bob Netolicky, an American former professional basketball player known for his career in the American Basketball Association (ABA).
  • A. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Netinera
    Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
  • C. Naristi
    The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
  • D. The Net
    The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
  • E. Noteć
    Noteć is a major river in central-western Poland that flows through regions such as Greater Poland, serving as an important natural waterway and ecological corridor.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250c0ca081909340abae204cc226 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a8a1d08819080f071eb22db54d3 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05e02edc48190938613946f19df01 completed March 22, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c0621308588190a0d7a86bb804134d completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:47 p.m.