Triple

T393183
Position Surface form Disambiguated ID Type / Status
Subject The Bambino E8923 entity
Predicate alsoKnownAs P39 FINISHED
Object The Big Bam
The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
 E49954 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: The Big Bam | Statement: [The Bambino, alsoKnownAs, The Big Bam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Big Bam
Context triple: [The Bambino, alsoKnownAs, The Big Bam]
  • A. Buffalo Bull
    Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
  • B. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • C. The Big Operator
    The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
  • D. The Ball
    The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
  • E. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • 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: The Big Bam
Triple: [The Bambino, alsoKnownAs, The Big Bam]
Generated description
The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Big Bam
Target entity description: The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
  • A. Buffalo Bull
    Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
  • B. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • C. The Big Operator
    The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
  • D. The Ball
    The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
  • E. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7637c08190b695ec640edbf6c2 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405f93f448190aa20c8a356a24b89 completed March 1, 2026, 9:25 a.m.
NEDg Description generation batch_69a406b81e708190b7561fda29cf4b79 completed March 1, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69a4081238e881908f0c79ab2d7d774e completed March 1, 2026, 9:34 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.