Triple

T28566974
Position Surface form Disambiguated ID Type / Status
Subject Bernadette Rostenkowski-Wolowitz E722704 entity
Predicate marriedInEpisode P140690 FINISHED
Object The Countdown Reflection
"The Countdown Reflection" is an episode of the sitcom The Big Bang Theory that centers on Howard and Bernadette's rushed wedding just before Howard's space launch.
 E1824576 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: The Countdown Reflection | Statement: [Bernadette Rostenkowski-Wolowitz, marriedInEpisode, The Countdown Reflection]
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: The Countdown Reflection
Triple: [Bernadette Rostenkowski-Wolowitz, marriedInEpisode, The Countdown Reflection]
Generated description
"The Countdown Reflection" is an episode of the sitcom The Big Bang Theory that centers on Howard and Bernadette's rushed wedding just before Howard's space launch.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: marriedInEpisode
Context triple: [Bernadette Rostenkowski-Wolowitz, marriedInEpisode, The Countdown Reflection]
  • A. marriedIn
    Indicates that two entities entered into a marital relationship at a specific place or within a particular jurisdiction.
  • B. laterMarriedIn
    Indicates that two entities became married at a later time relative to a previously referenced event or marital status.
  • C. marriedBy
    Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
  • D. hasSpouseInTVSeries chosen
    Indicates that one person is the spouse of another person within the context of a specific TV series.
  • E. hasSpouseInStory
    Indicates that one entity is depicted as the spouse of another within the context of a particular story or narrative.
  • 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_69f01a5f69d08190ad5c0d2167078dec completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6f8565134819096aac0175f924a9f completed May 3, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb6e68fd08190945804c7efeb1fb7 completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cba04fcf88190907a6395620995a9 completed May 31, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_6a1cba8a4e94819091fd3d041f2c2527 completed May 31, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
Created at: April 28, 2026, 4:07 a.m.