Triple
T20224461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia |
E495340
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Olivia |
—
|
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: Olivia | Statement: [Olivia, name, Olivia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Context triple: [Olivia, name, Olivia]
-
A.
Olivia
chosen
Olivia is a feminine given name of Latin origin meaning "olive tree," widely used in English-speaking countries and popularized by literature and modern media.
-
B.
Olivia
Olivia is a key supporting character in Minecraft: Story Mode, known as a smart, cautious engineer and Redstone expert who helps the protagonist on their adventures.
-
C.
Olivia
Olivia is one of the main characters in the Lego Friends franchise, typically portrayed as a smart, inventive girl who loves science and technology.
-
D.
Olivia
Olivia is a musical artist known for her featured performance on the track "Broken Silence."
-
E.
Olivia
Olivia is a central character in Ruth Prawer Jhabvala’s novel "Heat and Dust," whose life and choices in colonial India drive much of the story’s exploration of desire, cultural conflict, and transgression.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd8f1948190adbb947a7870bb43 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.