Triple

T3998100
Position Surface form Disambiguated ID Type / Status
Subject Jack Paar E87146 entity
Predicate familyName P18 FINISHED
Object Paar
Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
 E407359 NE FINISHED

How this triple was built (4 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: Paar | Statement: [Jack Paar, familyName, Paar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paar
Context triple: [Jack Paar, familyName, Paar]
  • A. Parainen
    Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
  • B. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • C. Perche
    Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
  • D. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • E. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Paar
Triple: [Jack Paar, familyName, Paar]
Generated description
Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paar
Target entity description: Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
  • A. Parainen
    Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
  • B. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • C. Perche
    Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
  • D. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • E. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • F. None of above. chosen

Provenance (5 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c54f05c8190b18c2d4839a61b64 completed March 14, 2026, 11:53 a.m.
NEDg Description generation batch_69b54cf3da208190aa844c9ea66354fe completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b55159dc288190a63d5f5164b73bbb completed March 14, 2026, 12:15 p.m.
Created at: March 9, 2026, 3:34 p.m.