Triple

T36986650
Position Surface form Disambiguated ID Type / Status
Subject The Sydney Morning Herald E914982 entity
Predicate founder P104 FINISHED
Object William McGarvie
William McGarvie was a 19th-century Scottish-born printer and publisher who became one of the early founders of the influential Australian newspaper The Sydney Morning Herald.
E2222998 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: William McGarvie | Statement: [The Sydney Morning Herald, founder, William McGarvie]
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: William McGarvie
Triple: [The Sydney Morning Herald, founder, William McGarvie]
Generated description
William McGarvie was a 19th-century Scottish-born printer and publisher who became one of the early founders of the influential Australian newspaper The Sydney Morning Herald.

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_69f76e8dd0408190b8b46da118ea5128 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ffa7199c819092b7d7caaf3f73b6 completed May 5, 2026, 2:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406370e36c819093e5d6d2b0a1a6c2 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a4067d3efc0819085f3ecfaa3df32e2 completed June 28, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_6a406845d00c8190be33c270073fcde3 completed June 28, 2026, 12:18 a.m.
Created at: May 3, 2026, 4:14 p.m.