Triple
T12913490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Along With Me |
E308918
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gunter |
E1010036
|
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: Gunter | Statement: [Come Along With Me, featuresCharacter, Gunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunter Context triple: [Come Along With Me, featuresCharacter, Gunter]
-
A.
Gunter
Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
-
B.
Gunter
chosen
Gunter is the mischievous penguin companion of the Ice King in the animated television series "Adventure Time."
-
C.
Gunner
Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
-
D.
Reubell
Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
-
E.
Sperrle
Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5df0408190a8fe83cdd91e38c9 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:41 p.m.