Triple

T12911344
Position Surface form Disambiguated ID Type / Status
Subject Beast Boy E308871 entity
Predicate familyName P18 FINISHED
Object Logan
Logan is the surname of Beast Boy, a green-skinned shapeshifting superhero from DC Comics' Teen Titans.
 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: [Beast Boy, familyName, Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Logan
Context triple: [Beast Boy, familyName, 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: [Beast Boy, familyName, Logan]
Generated description
Logan is the surname of Beast Boy, a green-skinned shapeshifting superhero from DC Comics' Teen Titans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Logan
Target entity description: Logan is the surname of Beast Boy, a green-skinned shapeshifting superhero from DC Comics' Teen Titans.
  • 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 small city in southern West Virginia that serves as a local hub for the surrounding coal-mining region.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719f96248190b746f9d4a468560c completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56b50b48190a0deefd491ed8c4a completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6db731c819091b96c4ed6a50f19 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:41 p.m.