Triple
T14535290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Aoleon Joffer |
E341026
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Aoleon
Aoleon is a fictional queen character, known as Queen Aoleon Joffer, from the comedy film "Coming to America."
|
E1104810
|
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: Aoleon | Statement: [Queen Aoleon Joffer, givenName, Aoleon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aoleon Context triple: [Queen Aoleon Joffer, givenName, Aoleon]
-
A.
Laeops
Laeops is a genus of small, bottom-dwelling lefteye flounders found in marine waters of the Indo-Pacific region.
-
B.
Pegusa
Pegusa is a genus of flatfish within the family Soleidae, comprising several species of soles found in coastal and estuarine waters of the eastern Atlantic and Mediterranean.
-
C.
Leiarius
Leiarius is a genus of large South American freshwater catfishes known for their distinctive spotted or marbled patterns and importance in both fisheries and the aquarium trade.
-
D.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
E.
Damastes
Damastes is a figure from Greek mythology better known by the epithet Procrustes, a bandit infamous for violently stretching or cutting his victims to make them fit an iron bed.
- 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: Aoleon Triple: [Queen Aoleon Joffer, givenName, Aoleon]
Generated description
Aoleon is a fictional queen character, known as Queen Aoleon Joffer, from the comedy film "Coming to America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aoleon Target entity description: Aoleon is a fictional queen character, known as Queen Aoleon Joffer, from the comedy film "Coming to America."
-
A.
Laeops
Laeops is a genus of small, bottom-dwelling lefteye flounders found in marine waters of the Indo-Pacific region.
-
B.
Pegusa
Pegusa is a genus of flatfish within the family Soleidae, comprising several species of soles found in coastal and estuarine waters of the eastern Atlantic and Mediterranean.
-
C.
Leiarius
Leiarius is a genus of large South American freshwater catfishes known for their distinctive spotted or marbled patterns and importance in both fisheries and the aquarium trade.
-
D.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
E.
Damastes
Damastes is a figure from Greek mythology better known by the epithet Procrustes, a bandit infamous for violently stretching or cutting his victims to make them fit an iron bed.
- 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.