Triple

T29101090
Position Surface form Disambiguated ID Type / Status
Subject Creative Assembly E736640 entity
Predicate notableWork P4 FINISHED
Object Total War: Pharaoh
Total War: Pharaoh is a historical real-time strategy game in the Total War series that focuses on political intrigue and large-scale warfare in the Late Bronze Age Near East.
E736636 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: Pharaoh | Statement: [Creative Assembly, notableWork, Total War: Pharaoh]
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: Pharaoh
Triple: [Creative Assembly, notableWork, Total War: Pharaoh]
Generated description
Total War: Pharaoh is a historical real-time strategy game in the Total War series that focuses on political intrigue and large-scale warfare in the Late Bronze Age Near East.

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_6a25f0edaa388190acaaca0af97203c0 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f53de088819084971397f08ca821 completed June 7, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_6a25f94233508190a175f5e6cb258aff completed June 7, 2026, 11:05 p.m.
Created at: April 28, 2026, 11:12 a.m.