Triple

T31649588
Position Surface form Disambiguated ID Type / Status
Subject The Power Game E807679 entity
Predicate featuresFictionalCompany P22830 FINISHED
Object Wilder Enterprises
Wilder Enterprises is a fictional company appearing in the political drama novel and television series "The Power Game," serving as a key corporate player in its portrayal of power and influence.
E1970551 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: Wilder Enterprises | Statement: [The Power Game, featuresFictionalCompany, Wilder Enterprises]
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: Wilder Enterprises
Triple: [The Power Game, featuresFictionalCompany, Wilder Enterprises]
Generated description
Wilder Enterprises is a fictional company appearing in the political drama novel and television series "The Power Game," serving as a key corporate player in its portrayal of power and influence.

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_69f348d9ce58819093ea2da83cbeeec1 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a0041e9c8388190abc1dbff120b8b20 completed May 10, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79e30bd48190b397cd8949517e56 completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7abbce6c8190a9e873ba5c834b0f completed June 12, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b739c488190b25323f8e490b2e4 completed June 12, 2026, 3:22 a.m.
Created at: April 30, 2026, 10:52 p.m.