Triple

T37788226
Position Surface form Disambiguated ID Type / Status
Subject Sports Champions E942013 entity
Predicate hasSequel P1961 FINISHED
Object Sports Champions 2
Sports Champions 2 is a motion-controlled sports video game for the PlayStation 3 that expands on its predecessor with new sports and enhanced PlayStation Move support.
E2244071 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: Sports Champions 2 | Statement: [Sports Champions, hasSequel, Sports Champions 2]
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: Sports Champions 2
Triple: [Sports Champions, hasSequel, Sports Champions 2]
Generated description
Sports Champions 2 is a motion-controlled sports video game for the PlayStation 3 that expands on its predecessor with new sports and enhanced PlayStation Move support.

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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb14b09608190be6571ac8e221885 completed May 6, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f181f75c8190aea1e2bab7c7a8ba completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f299e8c48190899ad7c288ae1c4b completed June 28, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a40f412b0bc819089fa197ea537803f completed June 28, 2026, 10:14 a.m.
Created at: May 3, 2026, 4:19 p.m.