Triple
T4087496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Jahren |
E87622
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hope |
E121468
|
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: Hope | Statement: [Hope Jahren, givenName, Hope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hope Context triple: [Hope Jahren, givenName, Hope]
-
A.
Hope
Hope is the official motto of the former Colony of Rhode Island and Providence Plantations, reflecting the colony’s historical emphasis on religious freedom and optimism.
-
B.
Hope
Hope is a small village in the Peak District of Derbyshire, England, known for its scenic surroundings and role as a local tourist and walking hub.
-
C.
Hope
chosen
Hope is a feminine given name often associated with optimism and positive expectation.
-
D.
Hope
"Hope" is a popular hip hop single by Twista featuring Faith Evans that reflects on struggle, resilience, and aspirations for a better future.
-
E.
Hope
"Hope" is a symbolist painting by French artist Pierre Puvis de Chavannes that depicts an allegorical female figure embodying spiritual resilience and optimism amid desolation.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca899008190b5ada98bdb79639f |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6335c4819093538f261a5093b3 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.