Triple

T493276
Position Surface form Disambiguated ID Type / Status
Subject Al Capone E10235 entity
Predicate givenName P17 FINISHED
Object Alphonse
Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
 E69542 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: Alphonse | Statement: [Al Capone, givenName, Alphonse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alphonse
Context triple: [Al Capone, givenName, Alphonse]
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • 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: Alphonse
Triple: [Al Capone, givenName, Alphonse]
Generated description
Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alphonse
Target entity description: Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0faab4881909f65f172198b5bd2 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e62e2b3c81908215dab8c0717495 completed March 2, 2026, 1:21 a.m.
NEDg Description generation batch_69a4e6b3f570819087fe28f3225afe88 completed March 2, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_69a4e706d3e88190822eeb4a724a9b6a completed March 2, 2026, 1:25 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.