Triple

T37107954
Position Surface form Disambiguated ID Type / Status
Subject 41st Academy Awards E918900 entity
Predicate followedBy P78 FINISHED
Object 42nd Academy Awards
The 42nd Academy Awards was the 1970 ceremony honoring the best films of 1969, notable for awarding Best Picture to "Midnight Cowboy," the only X-rated film ever to win the top prize.
E2214422 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: 42nd Academy Awards | Statement: [41st Academy Awards, followedBy, 42nd 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: 42nd Academy Awards
Triple: [41st Academy Awards, followedBy, 42nd Academy Awards]
Generated description
The 42nd Academy Awards was the 1970 ceremony honoring the best films of 1969, notable for awarding Best Picture to "Midnight Cowboy," the only X-rated film ever to win the top prize.

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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2ff4a5788190a8b6bc5b8625555b completed May 6, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f6a114e648190953ee36d11097281 completed June 27, 2026, 6:13 a.m.
NEDg Description generation batch_6a3f6c38cdc8819088c136ed1deb1ad5 completed June 27, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_6a3f6cb55f348190b9e4682c94029ad0 completed June 27, 2026, 6:24 a.m.
Created at: May 3, 2026, 4:14 p.m.