Triple
T14780655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilly |
E347379
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | Little Sam |
E1119037
|
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: Little Sam | Statement: [Gilly, protects, Little Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Sam Context triple: [Gilly, protects, Little Sam]
-
A.
Little Sam
chosen
Little Sam is the infant son of Gilly in the world of "A Song of Ice and Fire" and its television adaptation "Game of Thrones."
-
B.
Sammy
Sammy is the common nickname for Sigma Alpha Mu, a historically Jewish collegiate social fraternity in North America.
-
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 official Spartan warrior mascot of San José State University, representing the school’s athletic teams and spirit.
-
E.
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.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388d398c81909d275f487cc38d9c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:31 a.m.