Triple

T25831909
Position Surface form Disambiguated ID Type / Status
Subject "Say goodnight, Gracie" closing routine E650685 entity
Predicate catchphraseText P132994 FINISHED
Object Goodnight, Gracie
"Goodnight, Gracie" is the famous closing catchphrase from the classic American comedy duo Burns and Allen, used to end their radio and television shows.
 E1698411 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: Goodnight, Gracie | Statement: ["Say goodnight, Gracie" closing routine, catchphraseText, Goodnight, Gracie]
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: Goodnight, Gracie
Triple: ["Say goodnight, Gracie" closing routine, catchphraseText, Goodnight, Gracie]
Generated description
"Goodnight, Gracie" is the famous closing catchphrase from the classic American comedy duo Burns and Allen, used to end their radio and television shows.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: catchphraseText
Context triple: ["Say goodnight, Gracie" closing routine, catchphraseText, Goodnight, Gracie]
  • A. featuresCatchphrase
    Indicates that an entity prominently includes or is associated with a particular catchphrase.
  • B. hasCatchphraseStyle
    Indicates that an entity’s catchphrase conforms to, or is characterized by, a particular stylistic pattern or manner of expression.
  • C. hasCatchphraseStatus
    Indicates whether an entity’s phrase or expression holds the status of being recognized as a catchphrase.
  • D. typicalPhrase chosen
    Indicates that the object is a phrase commonly or characteristically used in connection with the subject.
  • E. characterCatchphrase
    Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
  • 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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f601f26f0c81908f0ee76b955e9806 completed May 2, 2026, 1:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da2bfb1081908a6cedd5cf264ec7 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10de2035e081908bc333d5b3a4f5ae completed May 22, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a10de90e8a88190a13001d313e5a588 completed May 22, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 7:39 a.m.