Triple

T32647303
Position Surface form Disambiguated ID Type / Status
Subject 73rd Golden Globe Awards E834628 entity
Predicate bestActressTelevisionSeriesDramaWork P177376 FINISHED
Object Empire
Empire is a popular American musical drama television series that follows the power struggles and family conflicts within a hip-hop music and entertainment empire.
E26334 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: Empire | Statement: [73rd Golden Globe Awards, bestActressTelevisionSeriesDramaWork, Empire]
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: Empire
Triple: [73rd Golden Globe Awards, bestActressTelevisionSeriesDramaWork, Empire]
Generated description
Empire is a popular American musical drama television series that follows the power struggles and family conflicts within a hip-hop music and entertainment empire.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestActressTelevisionSeriesDramaWork
Context triple: [73rd Golden Globe Awards, bestActressTelevisionSeriesDramaWork, Empire]
  • A. leadingActressNominee
    Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
  • B. bestActressWinnerWork
    Indicates the work (such as a film or performance) for which a person received a Best Actress award.
  • C. bestActressMotionPictureDramaWork
    Indicates that a work is associated with winning or being awarded the Best Actress in a Motion Picture – Drama honor.
  • D. bestActressWinner
    Indicates that the subject has won the Best Actress award in a given competition or context.
  • E. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • F. None of above. chosen

Provenance (7 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6fb93224881908fc66fe76115fcdb completed May 3, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492a7b0288190ac08bbab38a4ba40 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a349348b22881909d8ba7ccb9abf6e8 completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3493e636b08190852e2c7126ce950a completed June 19, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f6fb17d5ec81909091e37e1ddbe577 completed May 3, 2026, 7:36 a.m.
Created at: May 1, 2026, 1:07 a.m.