Triple

T4482543
Position Surface form Disambiguated ID Type / Status
Subject Claes Oldenburg E100167 entity
Predicate notableWork P4 FINISHED
Object Clothespin
Clothespin is a large-scale public sculpture by Claes Oldenburg, resembling an oversized clothespin and exemplifying his playful transformation of everyday objects into monumental art.
 E443901 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: Clothespin | Statement: [Claes Oldenburg, notableWork, Clothespin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clothespin
Context triple: [Claes Oldenburg, notableWork, Clothespin]
  • A. Tijeras
    Tijeras is a small village in central New Mexico, located in the Sandia Mountains just east of Albuquerque.
  • B. Knick Knack
    Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
  • C. Bündchen
    Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
  • D. Nutmegger
    Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
  • E. Pesky's Pole
    Pesky's Pole is the famously short right-field foul pole at Boston's Fenway Park, named after Red Sox player Johnny Pesky and known for its role in several memorable home runs.
  • 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: Clothespin
Triple: [Claes Oldenburg, notableWork, Clothespin]
Generated description
Clothespin is a large-scale public sculpture by Claes Oldenburg, resembling an oversized clothespin and exemplifying his playful transformation of everyday objects into monumental art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clothespin
Target entity description: Clothespin is a large-scale public sculpture by Claes Oldenburg, resembling an oversized clothespin and exemplifying his playful transformation of everyday objects into monumental art.
  • A. Tijeras
    Tijeras is a small village in central New Mexico, located in the Sandia Mountains just east of Albuquerque.
  • B. Knick Knack
    Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
  • C. Bündchen
    Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
  • D. Nutmegger
    Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
  • E. Pesky's Pole
    Pesky's Pole is the famously short right-field foul pole at Boston's Fenway Park, named after Red Sox player Johnny Pesky and known for its role in several memorable home runs.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63782b8588190ba34c923ed4b792d completed March 15, 2026, 4:37 a.m.
NEDg Description generation batch_69b63b8ad4b08190a28c99918ece76b3 completed March 15, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69b63c15a27c81908f3a444becd41b16 completed March 15, 2026, 4:56 a.m.
Created at: March 12, 2026, 11:36 p.m.