Triple

T38585963
Position Surface form Disambiguated ID Type / Status
Subject Durak E932345 entity
Predicate hasParentRace P202553 FINISHED
Object orc (Aggra)
Orc (Aggra) refers to the orcish heritage of Aggra, a shaman of the Mag'har orcs in the Warcraft universe and the mate of Thrall.
E2276800 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: orc (Aggra) | Statement: [Durak, hasParentRace, orc (Aggra)]
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: orc (Aggra)
Triple: [Durak, hasParentRace, orc (Aggra)]
Generated description
Orc (Aggra) refers to the orcish heritage of Aggra, a shaman of the Mag'har orcs in the Warcraft universe and the mate of Thrall.

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_6a008f28ca6c8190b36e09062881cc95 completed May 10, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea9c8ccc819090eadfc322c540d4 completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41eb6236f88190a95bdb5d26a25e8e completed June 29, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a41ebd65c688190bbc848f604bd9e3c completed June 29, 2026, 3:51 a.m.
Created at: May 3, 2026, 4:32 p.m.