Triple
T13042582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammie |
E327231
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Sammy |
unclear NED1
|
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: Sammy | Statement: [Sammie, hasSpellingVariant, Sammy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammy Context triple: [Sammie, hasSpellingVariant, Sammy]
-
A.
Sammy
Sammy is the official Spartan warrior mascot of San José State University, representing the school’s athletic teams and spirit.
-
B.
Sammy
Sammy is a fictional character from Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which explores the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
-
C.
Sammy
Sammy is the owl mascot of Rice University, known for representing the school's athletic teams and spirit.
-
D.
Sammy
Sammy is the common nickname for Sigma Alpha Mu, a historically Jewish collegiate social fraternity in North America.
-
E.
Sammy Bryant
Sammy Bryant is a central police officer character in the television drama series "Southland," known for his gritty, streetwise approach to law enforcement in Los Angeles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd5139c8190aaec6487f074f251 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:56 p.m.