Triple
T14535168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamunda |
E341023
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | General Izzi |
E702450
|
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: General Izzi | Statement: [Zamunda, associatedWithCharacter, General Izzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Izzi Context triple: [Zamunda, associatedWithCharacter, General Izzi]
-
A.
General Izzi
chosen
General Izzi is a militant and over-the-top warlord from the fictional nation of Nexdoria in the comedy film "Coming 2 America," serving as one of the movie’s primary antagonists.
-
B.
Beni Ensar
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
-
C.
Issa
Issa is a masculine given name of Arabic origin commonly used in various Middle Eastern and Muslim-majority cultures.
-
D.
Beni Isguen
Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
-
E.
Colonel Faris Al-Ghazi
Colonel Faris Al-Ghazi is a Saudi police officer and key protagonist in the 2007 action-thriller film "The Kingdom," where he partners with an FBI team to investigate a terrorist attack in Riyadh.
- 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_69fd7a589d488190b4a192f33d11092d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.