Triple

T38583018
Position Surface form Disambiguated ID Type / Status
Subject Highmountain tauren E932286 entity
Predicate racialAbility P181486 FINISHED
Object Waste Not, Want Not
Waste Not, Want Not is a Highmountain tauren racial ability in World of Warcraft that enhances their resourcefulness by improving the yield or efficiency of gathered materials.
 E2276242 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: Waste Not, Want Not | Statement: [Highmountain tauren, racialAbility, Waste Not, Want Not]
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: Waste Not, Want Not
Triple: [Highmountain tauren, racialAbility, Waste Not, Want Not]
Generated description
Waste Not, Want Not is a Highmountain tauren racial ability in World of Warcraft that enhances their resourcefulness by improving the yield or efficiency of gathered materials.

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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd92675e4819095c7bebb365dd31c completed May 7, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea98cbcc8190a9e799b3f03e9c62 completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41eb74e91481909fc631fc2f42525a completed June 29, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_6a41ebef7c388190a4a667fbadf43fc1 completed June 29, 2026, 3:52 a.m.
Created at: May 3, 2026, 4:32 p.m.