Triple

T30231082
Position Surface form Disambiguated ID Type / Status
Subject Bulletin of the Atomic Scientists E768629 entity
Predicate hasSymbol P129 FINISHED
Object Doomsday Clock
The Doomsday Clock is a symbolic clock face used to represent how close humanity is to global catastrophe, particularly from nuclear war, climate change, and disruptive technologies.
E1911123 NE FINISHED

How this triple was built (2 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: Doomsday Clock | Statement: [Bulletin of the Atomic Scientists, hasSymbol, Doomsday Clock]
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: Doomsday Clock
Triple: [Bulletin of the Atomic Scientists, hasSymbol, Doomsday Clock]
Generated description
The Doomsday Clock is a symbolic clock face used to represent how close humanity is to global catastrophe, particularly from nuclear war, climate change, and disruptive technologies.

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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68025551081908f282e9ae3efebe7 completed May 2, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c031f2c8190b9b03a3d973920dc completed June 9, 2026, 2:35 a.m.
NEDg Description generation batch_6a277db96e588190b880660e62bb2364 completed June 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a277e55f0788190b9db58600d6de7d4 completed June 9, 2026, 2:45 a.m.
Created at: April 29, 2026, 7:36 p.m.