Triple

T37554789
Position Surface form Disambiguated ID Type / Status
Subject The Barrens E933668 entity
Predicate notableNPC P22 FINISHED
Object Mankrik
Mankrik is a well-known orc NPC from World of Warcraft, famous for his tragic quest involving the search for his lost wife in The Barrens.
E2233025 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: Mankrik | Statement: [The Barrens, notableNPC, Mankrik]
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: Mankrik
Triple: [The Barrens, notableNPC, Mankrik]
Generated description
Mankrik is a well-known orc NPC from World of Warcraft, famous for his tragic quest involving the search for his lost wife in The Barrens.

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_69f76eca55bc8190acf25741793d5dac completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba4535d948190ae8f3b27d7041743 completed May 6, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409f13b8588190bbd38f184a28686d completed June 28, 2026, 4:12 a.m.
NEDg Description generation batch_6a40a0bb718081909f6f7d021b52070c completed June 28, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a40a180222c8190aa3f63942e798f2f completed June 28, 2026, 4:22 a.m.
Created at: May 3, 2026, 4:17 p.m.