Triple

T32113225
Position Surface form Disambiguated ID Type / Status
Subject Meriadoc Brandybuck E820170 entity
Predicate wrote P2831 FINISHED
Object Herblore of the Shire
Herblore of the Shire is a scholarly work within J.R.R. Tolkien’s Middle-earth legendarium that details the plants and healing herbs known to the Hobbits of the Shire.
E1993291 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: Herblore of the Shire | Statement: [Meriadoc Brandybuck, wrote, Herblore of the Shire]
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: Herblore of the Shire
Triple: [Meriadoc Brandybuck, wrote, Herblore of the Shire]
Generated description
Herblore of the Shire is a scholarly work within J.R.R. Tolkien’s Middle-earth legendarium that details the plants and healing herbs known to the Hobbits of the Shire.

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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b90568648190ac60ea9e5c686dfe completed May 3, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0125faa88190829aa632d2d4b87c completed June 14, 2026, 7:29 p.m.
NEDg Description generation batch_6a2f023663f48190b11e32ae5a412840 completed June 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_6a2f03669a7c8190b928b260ef9f6454 completed June 14, 2026, 7:39 p.m.
Created at: May 1, 2026, 12:27 a.m.