Triple
T13101536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey & Friends Parking Structure |
E310729
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
Mickey
Mickey is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after Mickey Mouse.
|
E1021428
|
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: Mickey | Statement: [Mickey & Friends Parking Structure, hasSection, Mickey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickey Context triple: [Mickey & Friends Parking Structure, hasSection, Mickey]
-
A.
Mickey
Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
-
B.
Mickey
Mickey is the nickname of English actress Mickey Sumner, known for her roles in film and television such as "Frances Ha" and "Snowpiercer."
-
C.
Mickey
Mickey is a common diminutive form of the given name Michael, often used as a familiar or informal first name.
-
D.
Mickey
Mickey is the central protagonist of the 1938 horse-racing drama film "Stablemates," around whom the story’s emotional and narrative arc revolves.
-
E.
Mickey
Mickey is the nickname of Mickey Rivers, a former Major League Baseball center fielder known for his speed and leadoff hitting, especially with the New York Yankees in the late 1970s.
- 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: Mickey Triple: [Mickey & Friends Parking Structure, hasSection, Mickey]
Generated description
Mickey is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after Mickey Mouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mickey Target entity description: Mickey is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after Mickey Mouse.
-
A.
Mickey
Mickey is a common diminutive form of the given name Michael, often used as a familiar or informal first name.
-
B.
Mickey
Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
-
C.
Mickey
Mickey is the nickname of Mickey Rivers, a former Major League Baseball center fielder known for his speed and leadoff hitting, especially with the New York Yankees in the late 1970s.
-
D.
Mickey
Mickey is the commonly used nickname of Mickey Leland, an American congressman and humanitarian known for his work on hunger and poverty issues.
-
E.
Mickey
Mickey is the central protagonist of the 1938 horse-racing drama film "Stablemates," around whom the story’s emotional and narrative arc revolves.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e275df6c819096bb59e64df35216 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e32bf5508190b4dc58971f8f64d0 |
completed | May 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:04 p.m.