Triple

T8697761
Position Surface form Disambiguated ID Type / Status
Subject Protoss E206442 entity
Predicate notableCharacter P1481 FINISHED
Object Fenix
Fenix is a legendary Protoss warrior from the StarCraft universe, renowned for his bravery, loyalty, and pivotal role in key battles alongside heroes like Tassadar and Jim Raynor.
 E750254 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: Fenix | Statement: [Protoss, notableCharacter, Fenix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fenix
Context triple: [Protoss, notableCharacter, Fenix]
  • A. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • B. Ferno
    Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
  • C. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • D. Phénix
    Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
  • E. Panoptix
    Panoptix is a Johnson Controls software platform that provides cloud-based building management and energy optimization solutions.
  • 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: Fenix
Triple: [Protoss, notableCharacter, Fenix]
Generated description
Fenix is a legendary Protoss warrior from the StarCraft universe, renowned for his bravery, loyalty, and pivotal role in key battles alongside heroes like Tassadar and Jim Raynor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fenix
Target entity description: Fenix is a legendary Protoss warrior from the StarCraft universe, renowned for his bravery, loyalty, and pivotal role in key battles alongside heroes like Tassadar and Jim Raynor.
  • A. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • B. Ferno
    Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
  • C. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • D. Phénix
    Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
  • E. Panoptix
    Panoptix is a Johnson Controls software platform that provides cloud-based building management and energy optimization solutions.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58af50408190a3b81100a759795e completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef4060410819086f928bda95e0273 completed April 2, 2026, 10:56 p.m.
NEDg Description generation batch_69cef5fe6e48819086186f44d078137d completed April 2, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_69cef6aafad08190b983549727d7ac8a completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:34 p.m.