Triple

T37721809
Position Surface form Disambiguated ID Type / Status
Subject 1941 Academy Awards E939603 entity
Predicate precededBy P97 FINISHED
Object 1940 Academy Awards
The 1940 Academy Awards ceremony honored the best films of 1939, including classics like "Gone with the Wind" and "The Wizard of Oz," and is remembered as one of Hollywood's most celebrated Oscar years.
E2240942 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: 1940 Academy Awards | Statement: [1941 Academy Awards, precededBy, 1940 Academy Awards]
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: 1940 Academy Awards
Triple: [1941 Academy Awards, precededBy, 1940 Academy Awards]
Generated description
The 1940 Academy Awards ceremony honored the best films of 1939, including classics like "Gone with the Wind" and "The Wizard of Oz," and is remembered as one of Hollywood's most celebrated Oscar years.

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_69f76edc208c8190bc8b9683f75e1024 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae7301e08190ac27ad92b33968bb completed May 6, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40d67c10a08190910f828ce5008cac completed June 28, 2026, 8:08 a.m.
NEDg Description generation batch_6a40d89fe3988190839b093c3559c73d completed June 28, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_6a40d9f174f481909c3c8adbe39ac518 completed June 28, 2026, 8:23 a.m.
Created at: May 3, 2026, 4:18 p.m.