Triple

T15276120
Position Surface form Disambiguated ID Type / Status
Subject Carolina E365144 entity
Predicate shortForm P43 FINISHED
Object Caro E274254 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: Caro | Statement: [Carolina, shortForm, Caro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caro
Context triple: [Carolina, shortForm, Caro]
  • A. Caro
    "Caro" is a popular Afrobeat song by Nigerian production duo Legendury Beatz, known for helping boost their prominence in the contemporary African music scene.
  • B. Caro chosen
    Caro is a surname most prominently associated with Robert A. Caro, the Pulitzer Prize–winning American biographer and journalist known for his exhaustive political biographies.
  • C. Caro mio ben
    "Caro mio ben" is a beloved classical Italian art song, often performed by vocalists for its expressive melody and emotional depth.
  • D. Carin
    Carin is the middle name of American singer-songwriter Julia Michaels (born Julia Carin Cavazos).
  • E. Caron
    Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7186d481909067f8088f3ea497 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.