Triple

T36851191
Position Surface form Disambiguated ID Type / Status
Subject Phantasmagoria E910679 entity
Predicate engine P6068 FINISHED
Object Sierra Creative Interpreter
Sierra Creative Interpreter is a game engine developed by Sierra On-Line that powered many of the company’s classic point-and-click adventure games in the late 1980s and early 1990s.
E2200893 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: Sierra Creative Interpreter | Statement: [Phantasmagoria, engine, Sierra Creative Interpreter]
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: Sierra Creative Interpreter
Triple: [Phantasmagoria, engine, Sierra Creative Interpreter]
Generated description
Sierra Creative Interpreter is a game engine developed by Sierra On-Line that powered many of the company’s classic point-and-click adventure games in the late 1980s and early 1990s.

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_69f76e8033d48190a59274f86f13be48 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfac54f0819080ff3e3d3b0a442a completed May 3, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde7c1d94819086061240db254d97 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddfe25b2c81908281c86fd2b2ae87 completed June 26, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a3ded6d88a48190a8fc6188efed7e3f completed June 26, 2026, 3:09 a.m.
Created at: May 3, 2026, 4:13 p.m.