Triple

T14464582
Position Surface form Disambiguated ID Type / Status
Subject Grimm E358672 entity
Predicate featuresConcept P531 FINISHED
Object Wesen
Wesen are supernatural creatures from the TV series "Grimm," each with a hidden animalistic form and unique abilities that coexist secretly alongside humans.
 E1101202 NE FINISHED

How this triple was built (4 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: Wesen | Statement: [Grimm, featuresConcept, Wesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wesen
Context triple: [Grimm, featuresConcept, Wesen]
  • A. Wezen
    Wezen is a bright supergiant star in the constellation Canis Major, notable as one of its most luminous members.
  • B. Ents
    Ents are ancient, tree-like guardians of the forests in J.R.R. Tolkien's Middle-earth, known for their great strength, slow deliberation, and role in protecting nature.
  • C. Aindling
    Aindling is a small market town in Bavaria, Germany, known for its rural character and location northeast of the city of Augsburg.
  • D. Byfuglien
    Byfuglien is the surname of former NHL defenseman and Stanley Cup champion Dustin Byfuglien.
  • E. Grafling
    Grafling is a municipality in the Bavarian district of Regen in Germany, known for its location in the scenic Bavarian Forest region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Wesen
Triple: [Grimm, featuresConcept, Wesen]
Generated description
Wesen are supernatural creatures from the TV series "Grimm," each with a hidden animalistic form and unique abilities that coexist secretly alongside humans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wesen
Target entity description: Wesen are supernatural creatures from the TV series "Grimm," each with a hidden animalistic form and unique abilities that coexist secretly alongside humans.
  • A. Wezen
    Wezen is a bright supergiant star in the constellation Canis Major, notable as one of its most luminous members.
  • B. Ents
    Ents are ancient, tree-like guardians of the forests in J.R.R. Tolkien's Middle-earth, known for their great strength, slow deliberation, and role in protecting nature.
  • C. Aindling
    Aindling is a small market town in Bavaria, Germany, known for its rural character and location northeast of the city of Augsburg.
  • D. Byfuglien
    Byfuglien is the surname of former NHL defenseman and Stanley Cup champion Dustin Byfuglien.
  • E. Grafling
    Grafling is a municipality in the Bavarian district of Regen in Germany, known for its location in the scenic Bavarian Forest region.
  • F. None of above. chosen

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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91ad67bc81908ecdaa7262f6dc55 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64973dc08190ab893c95ea3f066c completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd67b1ed2081908d3de6514078be49 completed May 8, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69fd682f28948190adc037c18c7deb93 completed May 8, 2026, 4:35 a.m.
Created at: April 10, 2026, 1:19 a.m.