Triple

T9201515
Position Surface form Disambiguated ID Type / Status
Subject Rachael E220850 entity
Predicate shortForm P43 FINISHED
Object Rae E104924 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: Rae | Statement: [Rachael, shortForm, Rae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rae
Context triple: [Rachael, shortForm, Rae]
  • A. Rae chosen
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • B. Kori Rae
    Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
  • C. Raine
    Raine is a given name used as a spelling variant of the name Ryne.
  • D. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • E. Karli
    Karli is a diminutive form of the given name Karl, commonly used as an affectionate or informal variant.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9429b448190a078e9cdfedd4918 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c451210819091188151d799e4cb completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.