Triple

T34693283
Position Surface form Disambiguated ID Type / Status
Subject Darkening of Mirkwood E890956 entity
Predicate hasEffectOn P812 FINISHED
Object Woodmen of Mirkwood
The Woodmen of Mirkwood are a hardy community of Men in J.R.R. Tolkien’s Middle-earth who dwell in the forest of Mirkwood, living by hunting and woodcraft amid growing shadows and dangers.
E2108468 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: Woodmen of Mirkwood | Statement: [Darkening of Mirkwood, hasEffectOn, Woodmen of Mirkwood]
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: Woodmen of Mirkwood
Triple: [Darkening of Mirkwood, hasEffectOn, Woodmen of Mirkwood]
Generated description
The Woodmen of Mirkwood are a hardy community of Men in J.R.R. Tolkien’s Middle-earth who dwell in the forest of Mirkwood, living by hunting and woodcraft amid growing shadows and dangers.

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_69f349db7ab8819086808e833f472871 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f723549ac8819088816d0c96e28251 completed May 3, 2026, 10:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3752fae58c8190a918bc66c445b98d completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a37538a0d948190949592c8f833958c completed June 21, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_6a375421883481909d25a3d03b4f4c7a completed June 21, 2026, 3:01 a.m.
Created at: May 1, 2026, 2:05 a.m.