Triple

T37459690
Position Surface form Disambiguated ID Type / Status
Subject Tinkmaster Overspark (reprint-related theme) E930886 entity
Predicate name P16 FINISHED
Object Tinkmaster Overspark
Tinkmaster Overspark is a gnome engineer-themed legendary card from Hearthstone known for its chaotic random transformation effect on minions.
E2226926 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: Tinkmaster Overspark | Statement: [Tinkmaster Overspark (reprint-related theme), name, Tinkmaster Overspark]
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: Tinkmaster Overspark
Triple: [Tinkmaster Overspark (reprint-related theme), name, Tinkmaster Overspark]
Generated description
Tinkmaster Overspark is a gnome engineer-themed legendary card from Hearthstone known for its chaotic random transformation effect on minions.

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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e3427b48190936245581cf109d6 completed May 6, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408267ad1c819094e50a10578dace9 completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a408301ac7481909a67b2b663296357 completed June 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a4083b93a508190819fe83da97374f7 completed June 28, 2026, 2:15 a.m.
Created at: May 3, 2026, 4:17 p.m.