Triple
T12773696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunstan Cass |
E305313
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cass |
E1003038
|
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: Cass | Statement: [Dunstan Cass, familyName, Cass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cass Context triple: [Dunstan Cass, familyName, Cass]
-
A.
Cass
Cass is a 2008 British crime drama film following the violent rise and personal struggles of real-life football hooligan Cass Pennant in London.
-
B.
Cass
Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
-
C.
Cass
chosen
Cass is a surname of English origin borne by various notable individuals across different fields.
-
D.
Cassibile
Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
-
E.
Cassidy
Cassidy is a feminine given name of Irish origin that has become popular in English-speaking countries.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b90ae688190b22e3a68d27b54c5 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:28 p.m.