Triple

T18008713
Position Surface form Disambiguated ID Type / Status
Subject Kazu Kibuishi E430820 entity
Predicate notableWork P4 FINISHED
Object Copper
Copper is a webcomic and graphic novel series by Kazu Kibuishi that follows the whimsical, introspective adventures of a boy and his talking dog.
 E1301236 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: Copper | Statement: [Kazu Kibuishi, notableWork, Copper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Copper
Context triple: [Kazu Kibuishi, notableWork, Copper]
  • A. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • B. Copper
    Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • C. Copper
    Copper is a supporting character in John Carpenter's 1982 horror film "The Thing," serving as the camp doctor alongside R.J. MacReady at the Antarctic research station.
  • D. copper (chemical element)
    Copper is a reddish-brown, highly conductive metallic element widely used in electrical wiring, electronics, and alloys such as bronze and brass.
  • E. Nickel
    Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
  • 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: Copper
Triple: [Kazu Kibuishi, notableWork, Copper]
Generated description
Copper is a webcomic and graphic novel series by Kazu Kibuishi that follows the whimsical, introspective adventures of a boy and his talking dog.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Copper
Target entity description: Copper is a webcomic and graphic novel series by Kazu Kibuishi that follows the whimsical, introspective adventures of a boy and his talking dog.
  • A. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • B. Copper
    Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • C. Copper
    Copper is a supporting character in John Carpenter's 1982 horror film "The Thing," serving as the camp doctor alongside R.J. MacReady at the Antarctic research station.
  • D. copper (chemical element)
    Copper is a reddish-brown, highly conductive metallic element widely used in electrical wiring, electronics, and alloys such as bronze and brass.
  • E. Nickel
    Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51e13788190bebbbdd7340e0982 completed April 19, 2026, 10:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03431f56448190b4cbccc2c2be6242 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a0344a644788190b4ac1f7ffc80d562 completed May 12, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a034517f4148190864d916f4d1ef5ba completed May 12, 2026, 3:19 p.m.
Created at: April 10, 2026, 10:24 a.m.