Triple

T5054741
Position Surface form Disambiguated ID Type / Status
Subject Jesse Dylan E113872 entity
Predicate founded P104 FINISHED
Object Wondros
Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
 E490547 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: Wondros | Statement: [Jesse Dylan, founded, Wondros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wondros
Context triple: [Jesse Dylan, founded, Wondros]
  • A. Lusta
    Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • B. Ourique
    Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
  • C. Caron
    Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
  • D. Baldeo
    Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
  • E. Lindos
    Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
  • 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: Wondros
Triple: [Jesse Dylan, founded, Wondros]
Generated description
Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wondros
Target entity description: Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
  • A. Lusta
    Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • B. Ourique
    Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
  • C. Caron
    Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
  • D. Baldeo
    Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
  • E. Lindos
    Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744ccb888190a8a0ddd7c4d62f35 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea71808cc8190934d2ce1f5b6f30b completed March 21, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_69bea7c7014881909edef5562f6c8a6d completed March 21, 2026, 2:14 p.m.
Created at: March 20, 2026, 1:38 p.m.