Triple

T13242564
Position Surface form Disambiguated ID Type / Status
Subject Logan Paul E315316 entity
Predicate givenName P17 FINISHED
Object Logan
Logan is the first name of Logan Paul, an American social media personality, professional wrestler, and occasional boxer.
 E218350 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: Logan | Statement: [Logan Paul, givenName, Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Logan
Context triple: [Logan Paul, givenName, Logan]
  • A. Logan
    Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
  • B. Logan
    Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
  • C. Logan
    Logan is a city in northern Utah known for being home to Utah State University and for its scenic Cache Valley setting.
  • D. Logan
    Logan is a small village located within the council area of East Ayrshire in southwest Scotland.
  • E. Logan
    Logan is a residential neighborhood in North Philadelphia, Pennsylvania, known for its rowhouses and proximity to institutions like La Salle University.
  • 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: Logan
Triple: [Logan Paul, givenName, Logan]
Generated description
Logan is the first name of Logan Paul, an American social media personality, professional wrestler, and occasional boxer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Logan
Target entity description: Logan is the first name of Logan Paul, an American social media personality, professional wrestler, and occasional boxer.
  • A. Logan chosen
    Logan is a name commonly used as both a given name and surname in English-speaking countries.
  • B. Logan
    Logan is a Marvel Comics antihero better known as Wolverine, a mutant with retractable claws and a powerful healing factor who was subjected to the Weapon X program.
  • C. Logan
    Logan was an 18th-century Mingo (Native American) leader known for his initial friendship with colonial settlers and his later famous speech lamenting the murder of his family during escalating frontier conflicts.
  • D. Logan
    Logan is a 2017 superhero film in the X-Men franchise that follows an aging Wolverine on a violent, character-driven road journey in a bleak near-future.
  • E. Logan
    Logan is a city in northern Utah known for being home to Utah State University and for its scenic Cache Valley setting.
  • F. None of above.

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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d59e84c8190a9e547d0fe26a5f9 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3438888190b4aecb0b67153ed9 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f700cbb3708190884d05dd0dd22639 completed May 3, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69f7031a4490819081da260edd969ee8 completed May 3, 2026, 8:11 a.m.
Created at: April 9, 2026, 9:23 p.m.