Triple

T10355114
Position Surface form Disambiguated ID Type / Status
Subject Felicia Farr E243980 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: [Felicia Farr, givenName, Olive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olive
Context triple: [Felicia Farr, 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. Oglio
    The Oglio is a river in northern Italy that flows through Lombardy and is one of the main tributaries of the Po River.
  • D. 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.
  • E. Olive Tree
    "Olive Tree" is a song by English musician Peter Gabriel, known for its reflective lyrics and rich, layered production characteristic of his later solo work.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.