Triple
T14536405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Zamunda |
E341053
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | King Jaffe Joffer |
E341025
|
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: King Jaffe Joffer | Statement: [Prince of Zamunda, associatedWithCharacter, King Jaffe Joffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Jaffe Joffer Context triple: [Prince of Zamunda, associatedWithCharacter, King Jaffe Joffer]
-
A.
King Jaffe Joffer
chosen
King Jaffe Joffer is the regal and imposing king of the fictional African nation of Zamunda and father of Prince Akeem in the comedy film "Coming to America."
-
B.
King Rakkis
King Rakkis is a legendary ruler in the Diablo universe known for leading the crusade that established the powerful city-state of Westmarch.
-
C.
King Tahj
King Tahj is a music producer known for his work on the album "Songs About Girls."
-
D.
King Abrazza
King Abrazza is a fictional monarch appearing as a character in the novel "Mardi" by Herman Melville.
-
E.
Emperor Zurg
Emperor Zurg is a recurring villain in the Toy Story franchise, portrayed as the arch-nemesis of Buzz Lightyear and a parody of classic space-opera antagonists like Darth Vader.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb76fb58819088e5a0101143a401 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:22 a.m.