Triple

T37095542
Position Surface form Disambiguated ID Type / Status
Subject 2022 Overwatch League season E918549 entity
Predicate featuredHero P36250 FINISHED
Object Junker Queen
Junker Queen is a tank hero in Overwatch 2 known for her aggressive, close-range playstyle, commanding presence, and leadership over the Junker faction in the game's lore.
E2212365 NE FINISHED

How this triple was built (2 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: Junker Queen | Statement: [2022 Overwatch League season, featuredHero, Junker Queen]
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: Junker Queen
Triple: [2022 Overwatch League season, featuredHero, Junker Queen]
Generated description
Junker Queen is a tank hero in Overwatch 2 known for her aggressive, close-range playstyle, commanding presence, and leadership over the Junker faction in the game's lore.

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_69f76e9a48bc8190a3947508d8bca408 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a03809cd8cc8190a0b502998be65a15 completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdd08da481909aa66f655cf0c6c3 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3f01acfc84819081e2ab40be73abd3 completed June 26, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_6a3f056761c48190a1ab0a2d2fe71fb1 completed June 26, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:14 p.m.