Triple

T35389148
Position Surface form Disambiguated ID Type / Status
Subject He Makes Me Feel Like Dancin' E1022875 entity
Predicate academyAwardsCategoryWon P37391 FINISHED
Object Best Documentary Short Subject
Best Documentary Short Subject is an Academy Award category that honors outstanding short-form documentary films.
 E2139157 NE FINISHED

How this triple was built (3 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: Best Documentary Short Subject | Statement: [He Makes Me Feel Like Dancin', academyAwardsCategoryWon, Best Documentary Short Subject]
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: Best Documentary Short Subject
Triple: [He Makes Me Feel Like Dancin', academyAwardsCategoryWon, Best Documentary Short Subject]
Generated description
Best Documentary Short Subject is an Academy Award category that honors outstanding short-form documentary films.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: academyAwardsCategoryWon
Context triple: [He Makes Me Feel Like Dancin', academyAwardsCategoryWon, Best Documentary Short Subject]
  • A. oscarCategoryWon chosen
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • B. emmyCategoryWon
    Indicates that an entity has won an Emmy award in a specified category.
  • C. oscarAward
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • D. isOscarCategory
    Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
  • E. filmWonAcademyAwardFor
    Indicates that a film received an Academy Award (Oscar) in a specified category or for a particular achievement.
  • F. None of above.

Provenance (6 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_69f76df34ba48190bd80f0814cdcd540 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f794fa47048190b1605b16eb1bca4c completed May 3, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cc3986c819080b99dd8cd90b6dc completed June 21, 2026, 6:26 p.m.
NEDg Description generation batch_6a382ddb48d081908b471af4a6fe70ff completed June 21, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_6a382e98a29c8190baf0ade40125d39a completed June 21, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.