Triple

T28897303
Position Surface form Disambiguated ID Type / Status
Subject Johnny Cage E732863 entity
Predicate notableMove P22224 FINISHED
Object Shadow Uppercut
Shadow Uppercut is Johnny Cage’s signature rising punch special move in the Mortal Kombat fighting game series, often depicted with a green shadow effect and used as a powerful anti-air attack.
E1838563 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: Shadow Uppercut | Statement: [Johnny Cage, notableMove, Shadow Uppercut]
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: Shadow Uppercut
Triple: [Johnny Cage, notableMove, Shadow Uppercut]
Generated description
Shadow Uppercut is Johnny Cage’s signature rising punch special move in the Mortal Kombat fighting game series, often depicted with a green shadow effect and used as a powerful anti-air attack.

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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65aa4ed148190bf84678627fdc598 completed May 2, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d40bf05081909afc75f45bc80cdb completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d946e1348190bdb9ff9bc1a47dcf completed June 7, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a24dae406d08190a228c24eaa9712da completed June 7, 2026, 2:43 a.m.
Created at: April 28, 2026, 8 a.m.