Triple

T18144740
Position Surface form Disambiguated ID Type / Status
Subject Dinah Craik E434356 entity
Predicate notableWork P4 FINISHED
Object Olive NE NERFINISHED

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: Olive | Statement: [Dinah Craik, notableWork, Olive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olive
Context triple: [Dinah Craik, notableWork, Olive]
  • A. Olive chosen
    Olive is a given name and word most commonly associated with the small, oily fruit of the olive tree used for food and oil production.
  • B. L’Olive
    L’Olive is a mid-16th-century sonnet sequence by French poet Joachim du Bellay that helped introduce and adapt Italian Renaissance Petrarchan forms into French literature.
  • C. Oliwa
    Oliwa is a historic district of Gdańsk in northern Poland, known for its medieval monastery complex, cathedral, and role in regional maritime history.
  • D. Oglio
    The Oglio is a river in northern Italy that flows through Lombardy and is one of the main tributaries of the Po River.
  • E. Olivette
    Olivette is a diminutive given name derived from Olive, often associated with peace and nature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de32d3f88190bd9f406729716407 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.