Triple

T1233614
Position Surface form Disambiguated ID Type / Status
Subject Dick Bosman E26497 entity
Predicate nickname P55 FINISHED
Object Dick
Dick is the nickname of Dick Bosman, a former Major League Baseball pitcher known for his control and a no-hitter thrown in 1974.
 E149099 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: Dick | Statement: [Dick Bosman, nickname, Dick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dick
Context triple: [Dick Bosman, nickname, Dick]
  • A. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • B. Dash
    Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
  • C. Dash
    Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
  • D. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • E. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • 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: Dick
Triple: [Dick Bosman, nickname, Dick]
Generated description
Dick is the nickname of Dick Bosman, a former Major League Baseball pitcher known for his control and a no-hitter thrown in 1974.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dick
Target entity description: Dick is the nickname of Dick Bosman, a former Major League Baseball pitcher known for his control and a no-hitter thrown in 1974.
  • A. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • B. Dash
    Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
  • C. Dash
    Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
  • D. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • E. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f8a4208190bfcfeccc886de987 completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3b3e1cc819095590887896a67aa completed March 7, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69acb42f96f88190909efa3342b88e70 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:47 p.m.