Triple

T11722416
Position Surface form Disambiguated ID Type / Status
Subject The Nose E278669 entity
Predicate notableFeature P105 FINISHED
Object includes the Glowering Spot
The Nose is a fictional location or structure distinguished by its ominous sub-area known as the Glowering Spot.
 E942890 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: includes the Glowering Spot | Statement: [The Nose, notableFeature, includes the Glowering Spot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: includes the Glowering Spot
Context triple: [The Nose, notableFeature, includes the Glowering Spot]
  • A. The Glow
    The Glow is a track by American producer and DJ RJD2, known for its richly layered, sample-based instrumental hip-hop sound.
  • B. Glow
    "Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
  • C. Glow
    "Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
  • D. Glow
    Glow is a generative flow-based model architecture used for high-quality image and audio synthesis through invertible transformations.
  • E. Glister
    Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
  • 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: includes the Glowering Spot
Triple: [The Nose, notableFeature, includes the Glowering Spot]
Generated description
The Nose is a fictional location or structure distinguished by its ominous sub-area known as the Glowering Spot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: includes the Glowering Spot
Target entity description: The Nose is a fictional location or structure distinguished by its ominous sub-area known as the Glowering Spot.
  • A. The Glow
    The Glow is a track by American producer and DJ RJD2, known for its richly layered, sample-based instrumental hip-hop sound.
  • B. Glow
    "Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
  • C. Glow
    "Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
  • D. Glow
    Glow is a generative flow-based model architecture used for high-quality image and audio synthesis through invertible transformations.
  • E. Glister
    Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:40 p.m.