Triple

T29101095
Position Surface form Disambiguated ID Type / Status
Subject Creative Assembly E736640 entity
Predicate notableWork P4 FINISHED
Object Total War: Arena
Total War: Arena is an online, team-based real-time tactics game set in the Total War universe, focusing on fast-paced multiplayer battles with historical commanders and units.
E1871427 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: Total War: Arena | Statement: [Creative Assembly, notableWork, Total War: Arena]
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: Total War: Arena
Triple: [Creative Assembly, notableWork, Total War: Arena]
Generated description
Total War: Arena is an online, team-based real-time tactics game set in the Total War universe, focusing on fast-paced multiplayer battles with historical commanders and units.

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_69f077ec765c81909474c88bcc8bab43 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f661b58ac48190907b6c6e9ccc2c59 completed May 2, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260bfd914081909f2d1067c5a05155 completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a26108e78fc8190b35e3ec5df7b0c8a completed June 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a2614d0e1c08190b057693cf0a339de completed June 8, 2026, 1:03 a.m.
Created at: April 28, 2026, 11:12 a.m.