Triple
T6115143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Case |
E136340
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Case |
E119944
|
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: Case | Statement: [Stephen Case, hasLastName, Case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Case Context triple: [Stephen Case, hasLastName, 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.
Case Theory
Case Theory is a component of generative grammar that explains how noun phrases receive abstract case features from governing elements within a sentence’s syntactic structure.
-
D.
Case VIII
Case VIII, formally known as the RuSHA Trial, was one of the Subsequent Nuremberg Trials prosecuting Nazi officials for racial policies, forced resettlement, and crimes against humanity.
-
E.
Nóos case
The Nóos case was a high-profile Spanish corruption scandal involving the embezzlement of public funds through a non-profit institute linked to the Spanish royal family.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.