Triple

T596441
Position Surface form Disambiguated ID Type / Status
Subject Charlie on the MTA E17393 entity
Predicate hasCharacter P2308 FINISHED
Object Charlie
Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
E89621 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: Charlie | Statement: [Charlie on the MTA, hasCharacter, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie
Context triple: [Charlie on the MTA, hasCharacter, Charlie]
  • A. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • B. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. Sam
    Sam is a person whose given name is Sam.
  • E. Chuck
    Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
  • 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: Charlie
Triple: [Charlie on the MTA, hasCharacter, Charlie]
Generated description
Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlie
Target entity description: Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
  • A. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • B. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. Sam
    Sam is a person whose given name is Sam.
  • E. Chuck
    Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd3e5e08190be95cb2009aad42d completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e30cdbc819085f3c22f2e5ebb88 completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65ed6491c8190bd46e0bfa936d1ec completed March 3, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69a65f316bf88190938f802b1aff5e50 completed March 3, 2026, 4:10 a.m.
Created at: March 1, 2026, 7:33 p.m.