Triple

T24431160
Position Surface form Disambiguated ID Type / Status
Subject Ashley Williams E616004 entity
Predicate affiliation P10 FINISHED
Object Systems Alliance
The Systems Alliance is the primary human interstellar government and military organization in the Mass Effect universe, representing humanity's interests on the galactic stage.
E1636109 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: Systems Alliance | Statement: [Ashley Williams, affiliation, Systems Alliance]
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: Systems Alliance
Triple: [Ashley Williams, affiliation, Systems Alliance]
Generated description
The Systems Alliance is the primary human interstellar government and military organization in the Mass Effect universe, representing humanity's interests on the galactic stage.

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_69e2d7eadb248190a867130fe45f0388 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29782a4a0819087cb7ba399371520 completed April 29, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe3750a54819083bda5a3828bb0ed completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe4f9f0448190bbd9e0b860335482 completed May 22, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe6293ed88190813f5462abc67ce1 completed May 22, 2026, 5:14 a.m.
Created at: April 18, 2026, 2:16 a.m.