Triple
T14790639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratu Sir Kamisese Mara |
E347644
|
entity |
| Predicate | honorificPrefix |
P536
|
FINISHED |
| Object |
Ratu
Ratu is a Fijian chiefly title traditionally borne by high-ranking male members of indigenous Fijian nobility.
|
E1120172
|
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: Ratu | Statement: [Ratu Sir Kamisese Mara, honorificPrefix, Ratu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratu Context triple: [Ratu Sir Kamisese Mara, honorificPrefix, Ratu]
-
A.
Queen La
Queen La is a recurring villainess in the Tarzan stories, depicted as the powerful and often sinister queen and high priestess of the lost city of Opar.
-
B.
Monarcha
Monarcha is a genus of small insectivorous passerine birds commonly known as monarch flycatchers, found mainly in Australasia and the Pacific islands.
-
C.
Raja Eleena
Raja Eleena is a Malaysian royal princess, known as one of the daughters of the late Sultan Azlan Shah of Perak.
-
D.
Princess Huhuran
Princess Huhuran is a legendary Hunter-class minion card in Hearthstone, inspired by the giant silithid wasp boss from World of Warcraft’s Ahn’Qiraj raid.
-
E.
Princess Dala
Princess Dala is a fictional royal character from the Pink Panther film series, known as the owner of the famous Pink Panther diamond and the object of romantic interest and intrigue.
- 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: Ratu Triple: [Ratu Sir Kamisese Mara, honorificPrefix, Ratu]
Generated description
Ratu is a Fijian chiefly title traditionally borne by high-ranking male members of indigenous Fijian nobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ratu Target entity description: Ratu is a Fijian chiefly title traditionally borne by high-ranking male members of indigenous Fijian nobility.
-
A.
Queen La
Queen La is a recurring villainess in the Tarzan stories, depicted as the powerful and often sinister queen and high priestess of the lost city of Opar.
-
B.
Monarcha
Monarcha is a genus of small insectivorous passerine birds commonly known as monarch flycatchers, found mainly in Australasia and the Pacific islands.
-
C.
Raja Eleena
Raja Eleena is a Malaysian royal princess, known as one of the daughters of the late Sultan Azlan Shah of Perak.
-
D.
Princess Huhuran
Princess Huhuran is a legendary Hunter-class minion card in Hearthstone, inspired by the giant silithid wasp boss from World of Warcraft’s Ahn’Qiraj raid.
-
E.
Princess Dala
Princess Dala is a fictional royal character from the Pink Panther film series, known as the owner of the famous Pink Panther diamond and the object of romantic interest and intrigue.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bc8464819096b019f1e927d1a9 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe27e699688190952b6a4b922e3294 |
completed | May 8, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2896057881908b3947d9649739e7 |
completed | May 8, 2026, 6:16 p.m. |
Created at: April 10, 2026, 1:31 a.m.