Triple

T12232576
Position Surface form Disambiguated ID Type / Status
Subject Heroes for Hire E291509 entity
Predicate notableMember P10 FINISHED
Object Orka
Orka is a super-strong, whale-themed Marvel Comics villain and occasional antihero who has served on teams like the Heroes for Hire.
 E971865 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: Orka | Statement: [Heroes for Hire, notableMember, Orka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orka
Context triple: [Heroes for Hire, notableMember, Orka]
  • A. Orma
    Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
  • B. Orcines
    Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
  • C. Orlybus
    Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • D. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • E. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • 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: Orka
Triple: [Heroes for Hire, notableMember, Orka]
Generated description
Orka is a super-strong, whale-themed Marvel Comics villain and occasional antihero who has served on teams like the Heroes for Hire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orka
Target entity description: Orka is a super-strong, whale-themed Marvel Comics villain and occasional antihero who has served on teams like the Heroes for Hire.
  • A. Orma
    Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
  • B. Orcines
    Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
  • C. Orlybus
    Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • D. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • E. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.