Triple

T25619987
Position Surface form Disambiguated ID Type / Status
Subject The Corporation Wars: Emergence E642267 entity
Predicate series P1761 FINISHED
Object The Corporation Wars
The Corporation Wars is a science fiction series by Ken MacLeod that explores sentient robots, corporate conflict, and interstellar warfare in a far-future setting.
E638266 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: The Corporation Wars | Statement: [The Corporation Wars: Emergence, series, The Corporation Wars]
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: The Corporation Wars
Triple: [The Corporation Wars: Emergence, series, The Corporation Wars]
Generated description
The Corporation Wars is a science fiction series by Ken MacLeod that explores sentient robots, corporate conflict, and interstellar warfare in a far-future setting.

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_69e77e7a96748190b10f2699041e4e43 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fa1f5710819086f3ba4b42b6478b completed May 2, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cbe43f5481908cff6512bd250088 completed May 22, 2026, 9:34 p.m.
NEDg Description generation batch_6a10cc81bb8881909413a1b8924a0fe2 completed May 22, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_6a10cd0fbcc08190a12ded88d999feab completed May 22, 2026, 9:39 p.m.
Created at: April 21, 2026, 5:03 p.m.