Triple

T21335675
Position Surface form Disambiguated ID Type / Status
Subject Sam Giancana E526038 entity
Predicate nickname P55 FINISHED
Object Momo
Momo is the underworld nickname of Sam Giancana, a powerful mid-20th-century Chicago mob boss and key figure in the American Mafia.
E1478896 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: Momo | Statement: [Sam Giancana, nickname, Momo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momo
Context triple: [Sam Giancana, nickname, Momo]
  • A. Momo
    Momo is the young, troubled Jewish boy who forms a transformative friendship with the elderly Muslim shopkeeper in Éric-Emmanuel Schmitt’s novella *Monsieur Ibrahim and the Flowers of the Koran*.
  • B. Momo
    Momo is a Japanese singer, rapper, and main dancer best known as a member of the South Korean girl group Twice.
  • C. Les Muma
    Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
  • D. Ein Kind
    Ein Kind is an autobiographical work by Austrian writer Thomas Bernhard that recounts his bleak and formative childhood experiences.
  • E. Die Kinder
    Die Kinder is a 1990 British television drama miniseries about political intrigue and personal danger surrounding a couple searching for their missing children in Europe.
  • 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: Momo
Triple: [Sam Giancana, nickname, Momo]
Generated description
Momo is the underworld nickname of Sam Giancana, a powerful mid-20th-century Chicago mob boss and key figure in the American Mafia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Momo
Target entity description: Momo is the underworld nickname of Sam Giancana, a powerful mid-20th-century Chicago mob boss and key figure in the American Mafia.
  • A. Momo
    Momo is the young, troubled Jewish boy who forms a transformative friendship with the elderly Muslim shopkeeper in Éric-Emmanuel Schmitt’s novella *Monsieur Ibrahim and the Flowers of the Koran*.
  • B. Momo
    Momo is a Japanese singer, rapper, and main dancer best known as a member of the South Korean girl group Twice.
  • C. Les Muma
    Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
  • D. Ein Kind
    Ein Kind is an autobiographical work by Austrian writer Thomas Bernhard that recounts his bleak and formative childhood experiences.
  • E. Die Kinder
    Die Kinder is a 1990 British television drama miniseries about political intrigue and personal danger surrounding a couple searching for their missing children in Europe.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d6fcbc8190b83d9cfc9b4ca123 completed April 22, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c260dc8190be7acb83b1c9c832 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a8aef61c8190985aad0637b8fadd completed May 17, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_6a09a915a57c81909b5b1bb7042957a0 completed May 17, 2026, 11:40 a.m.
Created at: April 16, 2026, 4:43 p.m.