Triple
T10480118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighth Dynasty of Egypt |
E247147
|
entity |
| Predicate | hasPharaoh |
P21274
|
FINISHED |
| Object |
Nikare
Nikare was a little-known pharaoh who ruled during Egypt’s Eighth Dynasty in the early First Intermediate Period.
|
E865946
|
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: Nikare | Statement: [Eighth Dynasty of Egypt, hasPharaoh, Nikare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikare Context triple: [Eighth Dynasty of Egypt, hasPharaoh, Nikare]
-
A.
Nikisch
Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
-
B.
Niska
Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
-
C.
Naicker
Naicker is an Indian-origin surname commonly found in South Asia, particularly among Tamil-speaking communities.
-
D.
Nikiya
Nikiya is the tragic temple dancer heroine of the classical ballet *La Bayadère*, renowned for her ethereal presence and doomed love story.
-
E.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
- 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: Nikare Triple: [Eighth Dynasty of Egypt, hasPharaoh, Nikare]
Generated description
Nikare was a little-known pharaoh who ruled during Egypt’s Eighth Dynasty in the early First Intermediate Period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikare Target entity description: Nikare was a little-known pharaoh who ruled during Egypt’s Eighth Dynasty in the early First Intermediate Period.
-
A.
Nikisch
Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
-
B.
Niska
Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
-
C.
Naicker
Naicker is an Indian-origin surname commonly found in South Asia, particularly among Tamil-speaking communities.
-
D.
Nikiya
Nikiya is the tragic temple dancer heroine of the classical ballet *La Bayadère*, renowned for her ethereal presence and doomed love story.
-
E.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a2f4bbec8190a5c508c6431d71b2 |
completed | April 10, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8aff34c7081909c3504e00f56d9ec |
completed | April 10, 2026, 8:08 a.m. |
Created at: April 6, 2026, 12:22 p.m.