Triple
T21421441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifford Case |
E528446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Case |
—
|
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: Case | Statement: [Clifford Case, familyName, Case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Case Context triple: [Clifford Case, familyName, Case]
-
A.
Case
chosen
Case is a common English surname borne by various notable individuals across fields such as business, politics, and the arts.
-
B.
CASE
CASE is the commonly used acronym for the College of Arts, Sciences & Education, an academic division encompassing a broad range of liberal arts, scientific, and educational disciplines.
-
C.
Caso
Caso is a Spanish-language surname borne by various notable individuals, including Mexican archaeologist and anthropologist Alfonso Caso.
-
D.
CASES
CASES is a conference focused on computer-aided design and synthesis of embedded systems, typically held as part of the ESWEEK (Embedded Systems Week) event.
-
E.
Case Nuove
Case Nuove is a small locality in northern Italy that forms a frazione of the municipality of Somma Lombardo in the Lombardy region.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2d08b508190bbd66a0b8eb66516 |
completed | April 22, 2026, 11:36 a.m. |
Created at: April 16, 2026, 5:48 p.m.