Triple

T16989307
Position Surface form Disambiguated ID Type / Status
Subject Operation Teapot E412149 entity
Predicate testSeriesContains P125315 FINISHED
Object Shot Zucchini
Shot Zucchini was one of the individual nuclear test detonations conducted by the United States as part of the Operation Teapot series in the 1950s.
 E1244973 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: Shot Zucchini | Statement: [Operation Teapot, testSeriesContains, Shot Zucchini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shot Zucchini
Context triple: [Operation Teapot, testSeriesContains, Shot Zucchini]
  • A. Aubergine
    Aubergine is a poignant stage play by Julia Cho that explores family, grief, and cultural identity through the lens of food and memory.
  • B. Cucumber
    Cucumber is a British television drama series created and written by Russell T Davies that explores the lives and relationships of gay men in contemporary Manchester.
  • C. Cucumber
    Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
  • D. Benincasa
    Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
  • E. Asparros
    Asparros was a military commander known for leading forces in the Battle of Pamplona.
  • 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: Shot Zucchini
Triple: [Operation Teapot, testSeriesContains, Shot Zucchini]
Generated description
Shot Zucchini was one of the individual nuclear test detonations conducted by the United States as part of the Operation Teapot series in the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shot Zucchini
Target entity description: Shot Zucchini was one of the individual nuclear test detonations conducted by the United States as part of the Operation Teapot series in the 1950s.
  • A. Aubergine
    Aubergine is a poignant stage play by Julia Cho that explores family, grief, and cultural identity through the lens of food and memory.
  • B. Cucumber
    Cucumber is a British television drama series created and written by Russell T Davies that explores the lives and relationships of gay men in contemporary Manchester.
  • C. Cucumber
    Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
  • D. Benincasa
    Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
  • E. Asparros
    Asparros was a military commander known for leading forces in the Battle of Pamplona.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27dca248190a9b73b16439d5631 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc12e308819093e7f8933cdd6ba9 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d5aeb0819086f1a5d279ac0d0f completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0115c967b0819088e2335fd45d755b completed May 10, 2026, 11:33 p.m.
Created at: April 10, 2026, 5:32 a.m.