Triple
T8542363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rozvi Empire |
E202227
|
entity |
| Predicate | titleOfRuler |
P10605
|
FINISHED |
| Object |
Mambo
Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
|
E741201
|
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: Mambo | Statement: [Rozvi Empire, titleOfRuler, Mambo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mambo Context triple: [Rozvi Empire, titleOfRuler, Mambo]
-
A.
Mambo
Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
-
B.
Mambo!
Mambo! is a 1950s exotica and Latin-influenced studio album by Peruvian soprano Yma Sumac, showcasing her extraordinary multi-octave vocal range.
-
C.
Mambo Kingz
Mambo Kingz is a Latin music production duo known for crafting reggaeton and urban hits for top artists in the Spanish-speaking music scene.
-
D.
Mambo Mouth
Mambo Mouth is a one-man off-Broadway stage show by John Leguizamo in which he portrays multiple Latino characters in a fast-paced, comedic performance.
-
E.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
- 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: Mambo Triple: [Rozvi Empire, titleOfRuler, Mambo]
Generated description
Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mambo Target entity description: Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
-
A.
Mambo
Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
-
B.
Mambo!
Mambo! is a 1950s exotica and Latin-influenced studio album by Peruvian soprano Yma Sumac, showcasing her extraordinary multi-octave vocal range.
-
C.
Mambo Kingz
Mambo Kingz is a Latin music production duo known for crafting reggaeton and urban hits for top artists in the Spanish-speaking music scene.
-
D.
Mambo Mouth
Mambo Mouth is a one-man off-Broadway stage show by John Leguizamo in which he portrays multiple Latino characters in a fast-paced, comedic performance.
-
E.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e26be48190b10bc62fad178dad |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.