Triple
T15465497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying Squirrel Mario |
E372020
|
entity |
| Predicate | grantsTo |
P168
|
FINISHED |
| Object | Nabbit |
E372018
|
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: Nabbit | Statement: [Flying Squirrel Mario, grantsTo, Nabbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabbit Context triple: [Flying Squirrel Mario, grantsTo, Nabbit]
-
A.
Nabbit
chosen
Nabbit is a recurring, rabbit-like thief character in the Mario series known for stealing items and dashing through levels while being invincible to most enemies.
-
B.
Wabbit
Wabbit is an animated television series in the Looney Tunes franchise that focuses on new comedic adventures of Bugs Bunny and other classic characters.
-
C.
Bean Bunny
Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
-
D.
Bunny
"Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
-
E.
Bunny
Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4448c08190ac640642cc8fc41f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:33 a.m.