Triple

T12053878
Position Surface form Disambiguated ID Type / Status
Subject Olive Thomas E286988 entity
Predicate givenName P17 FINISHED
Object Olive E272486 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: Olive | Statement: [Olive Thomas, givenName, Olive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olive
Context triple: [Olive Thomas, givenName, 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. Olive Abroholos Elephanta
    Olive Abroholos Elephanta is a peculiar child in "Miss Peregrine's Home for Peculiar Children" known for her ability to create and control fire.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ddde6548190adae2a889ec5c72b completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.