Triple

T37555397
Position Surface form Disambiguated ID Type / Status
Subject Alexandros Mograine E933683 entity
Predicate commands P2333 FINISHED
Object Scarlet Crusade forces
Scarlet Crusade forces are a fanatical military faction in the Warcraft universe dedicated to the ruthless extermination of the undead, often to the point of extremism and corruption.
E2232636 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: Scarlet Crusade forces | Statement: [Alexandros Mograine, commands, Scarlet Crusade forces]
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: Scarlet Crusade forces
Triple: [Alexandros Mograine, commands, Scarlet Crusade forces]
Generated description
Scarlet Crusade forces are a fanatical military faction in the Warcraft universe dedicated to the ruthless extermination of the undead, often to the point of extremism and corruption.

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_69f76eca55bc8190acf25741793d5dac completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba454b7a081908f32fabdf03a0afa completed May 6, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409f13b8588190bbd38f184a28686d completed June 28, 2026, 4:12 a.m.
NEDg Description generation batch_6a40a0bc23908190ac462329ce09745c completed June 28, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a40a1405d9881908e4e663b0765732b completed June 28, 2026, 4:21 a.m.
Created at: May 3, 2026, 4:17 p.m.