Triple
T14703267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Breaks the Internet |
E345360
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ralph
Ralph is the lovable, once-villainous video game character from Disney’s Wreck-It Ralph franchise who embarks on comedic, heartfelt adventures across arcade games and the internet.
|
E345352
|
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: Ralph | Statement: [Ralph Breaks the Internet, mainCharacter, Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Context triple: [Ralph Breaks the Internet, mainCharacter, Ralph]
-
A.
Ralph
Ralph is a supporting character in the 1984 adventure-romance film "Romancing the Stone," known for his involvement in the story’s treasure-hunting escapades.
-
B.
Ralph
Ralph is the central protagonist of the film "The Other Man," around whom the story’s primary conflict and emotional drama revolve.
-
C.
Ralph
Ralph is the first name of legendary American NASCAR driver Dale Earnhardt.
-
D.
Ralph
Ralph is a surname of English origin that has been borne by various notable individuals across different fields.
-
E.
Ralph
Ralph is a key imaging and spectrometer instrument aboard NASA’s New Horizons spacecraft, designed to capture detailed visible and infrared observations of distant solar system bodies like Pluto and Kuiper Belt objects.
- 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: Ralph Triple: [Ralph Breaks the Internet, mainCharacter, Ralph]
Generated description
Ralph is the lovable, once-villainous video game character from Disney’s Wreck-It Ralph franchise who embarks on comedic, heartfelt adventures across arcade games and the internet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralph Target entity description: Ralph is the lovable, once-villainous video game character from Disney’s Wreck-It Ralph franchise who embarks on comedic, heartfelt adventures across arcade games and the internet.
-
A.
Ralph
chosen
Ralph is the lovable, misunderstood video game villain-turned-hero from Disney's animated film "Wreck-It Ralph."
-
B.
Ralph
Ralph is the pragmatic, fair-minded boy who initially leads the stranded children and symbolizes order and civilization in William Golding’s novel "Lord of the Flies."
-
C.
Ralph
Ralph is the central protagonist of the film "The Other Man," around whom the story’s primary conflict and emotional drama revolve.
-
D.
Ralph
Ralph is a supporting character in the 1984 adventure-romance film "Romancing the Stone," known for his involvement in the story’s treasure-hunting escapades.
-
E.
Ralph
Ralph is the first name of legendary American NASCAR driver Dale Earnhardt.
- F. None of above.
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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf368782c8190825247435eab2045 |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3fe50ac8190ad5529427472eda3 |
completed | May 8, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.