Triple

T16761738
Position Surface form Disambiguated ID Type / Status
Subject Jack Paar E407359 entity
Predicate familyName P18 FINISHED
Object Paar E407359 NE FINISHED

How this triple was built (2 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. Paar chosen
    Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
  • B. Paar
    "Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
  • C. Paar
    Paar is a river in Bavaria, Germany, known for flowing through several towns and rural landscapes before joining the Danube.
  • D. Pareja
    Pareja is a Spanish surname borne by various notable individuals, including Colombian former footballer and coach Óscar Pareja.
  • E. Çifteler
    Çifteler is a town and district in central Turkey known for its agricultural activities and location within Eskişehir Province in the Central Anatolia region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abed67f88190afb1d392ff01a5e7 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52d077081908080c61da67e0032 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.