Triple
T3499049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney |
E73919
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Goofy |
E173090
|
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: Goofy | Statement: [Disney, ownsBrand, Goofy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goofy Context triple: [Disney, ownsBrand, Goofy]
-
A.
Goofy
chosen
Goofy is a tall, anthropomorphic dog and classic Disney cartoon character known for his clumsiness, distinctive laugh, and good-natured personality.
-
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 Gordon "Mickey" Cochrane, a Hall of Fame American Major League Baseball catcher and manager from the early 20th century.
-
D.
Fat Albert
Fat Albert is a lovable, wisecracking, and overweight African-American teenager who leads a group of urban kids in the animated television series "Fat Albert and the Cosby Kids."
-
E.
Daffy
Daffy is the colloquial nickname given to the British World War II Boulton Paul Defiant turret fighter aircraft.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd3ad548190abbfae820bf3b66d |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d2ef9c819087458a0ac02d4596 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.