Triple

T30415292
Position Surface form Disambiguated ID Type / Status
Subject Carl David Anderson E773736 entity
Predicate awardReceived P11 FINISHED
Object Nobel Prize in Physics 1936
The Nobel Prize in Physics 1936 was awarded for groundbreaking discoveries in particle physics, notably including the identification of the positron.
 E1912246 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: Nobel Prize in Physics 1936 | Statement: [Carl David Anderson, awardReceived, Nobel Prize in Physics 1936]
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: Nobel Prize in Physics 1936
Triple: [Carl David Anderson, awardReceived, Nobel Prize in Physics 1936]
Generated description
The Nobel Prize in Physics 1936 was awarded for groundbreaking discoveries in particle physics, notably including the identification of the positron.

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_69f22490b8b48190ab10c886a8d58c89 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6864986008190a550cf740ff6f511 completed May 2, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27895fdda08190821d66cfceccb6f6 completed June 9, 2026, 3:32 a.m.
NEDg Description generation batch_6a278adb0a148190bdabcb03619f0c54 completed June 9, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_6a278bb7c0908190999f35c9918d8d6c completed June 9, 2026, 3:42 a.m.
Created at: April 29, 2026, 8:05 p.m.