Triple

T36850989
Position Surface form Disambiguated ID Type / Status
Subject Leisure Suit Larry series E910675 entity
Predicate notableEntry P7734 FINISHED
Object Leisure Suit Larry: Reloaded
Leisure Suit Larry: Reloaded is a modern high-definition remake of the original adult-themed point-and-click adventure game, featuring updated graphics, voice acting, and expanded content.
E2217499 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: Leisure Suit Larry: Reloaded | Statement: [Leisure Suit Larry series, notableEntry, Leisure Suit Larry: Reloaded]
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: Leisure Suit Larry: Reloaded
Triple: [Leisure Suit Larry series, notableEntry, Leisure Suit Larry: Reloaded]
Generated description
Leisure Suit Larry: Reloaded is a modern high-definition remake of the original adult-themed point-and-click adventure game, featuring updated graphics, voice acting, and expanded content.

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_6a4035f66e408190bc3fdcfcbf249e25 completed June 27, 2026, 8:43 p.m.
NEDg Description generation batch_6a4036668750819093d4bb0223eeec24 completed June 27, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a4038b257d08190b99ece15b8c8cc4d completed June 27, 2026, 8:55 p.m.
Created at: May 3, 2026, 4:13 p.m.