Triple
T14535213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semmi |
E341024
|
entity |
| Predicate | nationalityInFiction |
P15237
|
FINISHED |
| Object |
Zamundan
Zamundan is a fictional African kingdom best known as the lavish homeland of Prince Akeem in the comedy film "Coming to America."
|
E1104807
|
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: Zamundan | Statement: [Semmi, nationalityInFiction, Zamundan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamundan Context triple: [Semmi, nationalityInFiction, Zamundan]
-
A.
Mondaino
Mondaino is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and traditional cultural festivals.
-
B.
Moratalaz
Moratalaz is a residential district in the east of Madrid, Spain, known for its grid-like urban layout and numerous parks and green spaces.
-
C.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
D.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
E.
Moraz
Moraz is the surname of Patrick Moraz, a Swiss keyboardist best known for his work with the progressive rock bands Yes and The Moody Blues.
- 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: Zamundan Triple: [Semmi, nationalityInFiction, Zamundan]
Generated description
Zamundan is a fictional African kingdom best known as the lavish homeland of Prince Akeem in the comedy film "Coming to America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zamundan Target entity description: Zamundan is a fictional African kingdom best known as the lavish homeland of Prince Akeem in the comedy film "Coming to America."
-
A.
Mondaino
Mondaino is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and traditional cultural festivals.
-
B.
Moratalaz
Moratalaz is a residential district in the east of Madrid, Spain, known for its grid-like urban layout and numerous parks and green spaces.
-
C.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
D.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
E.
Moraz
Moraz is the surname of Patrick Moraz, a Swiss keyboardist best known for his work with the progressive rock bands Yes and The Moody Blues.
- 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_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. |
| NEDg | Description generation | batch_69fd7ae2ce048190ba802c4639c128d6 |
completed | May 8, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7b7147448190952a395f72662014 |
completed | May 8, 2026, 5:58 a.m. |
Created at: April 10, 2026, 1:22 a.m.