Triple
T1518541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Mouse franchise |
E32173
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Dale
Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
|
E173095
|
NE FINISHED |
How this triple was built (4 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: Dale | Statement: [Mickey Mouse franchise, hasCharacter, Dale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dale Context triple: [Mickey Mouse franchise, hasCharacter, Dale]
-
A.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
B.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
C.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
D.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
E.
Zeke
Zeke is the Allied reporting name for the Mitsubishi A6M Zero, the famous Japanese carrier-based fighter aircraft used extensively during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dale Triple: [Mickey Mouse franchise, hasCharacter, Dale]
Generated description
Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dale Target entity description: Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
-
A.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
B.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
C.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
D.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
E.
Zeke
Zeke is the Allied reporting name for the Mitsubishi A6M Zero, the famous Japanese carrier-based fighter aircraft used extensively during World War II.
- F. None of above. chosen
Provenance (5 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907ed44ac8190953e428c831e24df |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2346e7b481909c105a969724591d |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23d86d088190bbea03d5d49bc009 |
completed | March 8, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2459c38c8190a8c166c2743a8936 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.