Triple

T34820152
Position Surface form Disambiguated ID Type / Status
Subject Tony Award for Best Special Theatrical Event E1003747 entity
Predicate lastCeremonyYear P24230 FINISHED
Object 2009 Tony Awards
The 2009 Tony Awards was the annual ceremony honoring excellence in Broadway theatre for the 2008–2009 season, featuring performances and the presentation of major Tony categories.
 E2113114 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: 2009 Tony Awards | Statement: [Tony Award for Best Special Theatrical Event, lastCeremonyYear, 2009 Tony 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: 2009 Tony Awards
Triple: [Tony Award for Best Special Theatrical Event, lastCeremonyYear, 2009 Tony Awards]
Generated description
The 2009 Tony Awards was the annual ceremony honoring excellence in Broadway theatre for the 2008–2009 season, featuring performances and the presentation of major Tony categories.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: lastCeremonyYear
Context triple: [Tony Award for Best Special Theatrical Event, lastCeremonyYear, 2009 Tony Awards]
  • A. lastCeremonyName chosen
    Indicates the name or title of the most recent ceremony associated with an entity.
  • B. ceremonyYear
    Indicates the year in which a particular ceremony took place.
  • C. yearOfAwardCeremony
    Indicates the specific year in which an award ceremony took place.
  • D. yearOfAchievement
    Indicates the specific year in which an achievement, accomplishment, or notable milestone occurred or was obtained.
  • E. returnedAwardYear
    Indicates the year in which an award that had previously been given was returned or relinquished.
  • 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_69f76db717088190811b4e744610f37d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77adce5dc81909c8d07ff1c0e9c93 completed May 3, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fb989fc8190bc21c7c61fa893eb completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a3770d4686c8190b8b195cbeb41817a completed June 21, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a37719bed38819094df932b534a7b6a completed June 21, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69f7795b1abc8190823664d1caa94649 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 4 p.m.