Triple
T18885881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olive Kathryn Grandstaff |
E461954
|
entity |
| Predicate | givenName |
P17
|
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: [Olive Kathryn Grandstaff, givenName, Olive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olive Context triple: [Olive Kathryn Grandstaff, 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.
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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c4760d808190b502c4ed1f24424c |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:57 a.m.