Triple
T14780501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rickon Stark |
E347376
|
entity |
| Predicate | bondedWith |
P68132
|
FINISHED |
| Object | Shaggydog |
E1119032
|
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: Shaggydog | Statement: [Rickon Stark, bondedWith, Shaggydog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaggydog Context triple: [Rickon Stark, bondedWith, Shaggydog]
-
A.
Shaggydog
chosen
Shaggydog is the fierce black direwolf companion of Rickon Stark in the world of A Song of Ice and Fire and its television adaptation Game of Thrones.
-
B.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
C.
Shakey Dog
"Shakey Dog" is a storytelling-heavy hip-hop track by Ghostface Killah from his acclaimed album *Fishscale*, known for its vivid crime narrative and cinematic detail.
-
D.
Butch Pooch
Butch Pooch is a minor character from the Candyland plantation setting in Quentin Tarantino’s film "Django Unchained," known for serving as one of Calvin Candie’s henchmen.
-
E.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
- 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_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.