Triple
T11205880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Pepi |
E265159
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Prince Hornetjerikhet
Prince Hornetjerikhet was an ancient Egyptian royal figure associated with the 6th Dynasty, likely a son or close relative of Pharaoh Pepi I or Pepi II.
|
E911830
|
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: Prince Hornetjerikhet | Statement: [House of Pepi, hasMember, Prince Hornetjerikhet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Hornetjerikhet Context triple: [House of Pepi, hasMember, Prince Hornetjerikhet]
-
A.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
B.
King’s Wing
King’s Wing is a prominent residential and ceremonial section of Frederiksborg Castle in Denmark, historically used by the Danish monarch.
-
C.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
D.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
E.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
- 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: Prince Hornetjerikhet Triple: [House of Pepi, hasMember, Prince Hornetjerikhet]
Generated description
Prince Hornetjerikhet was an ancient Egyptian royal figure associated with the 6th Dynasty, likely a son or close relative of Pharaoh Pepi I or Pepi II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince Hornetjerikhet Target entity description: Prince Hornetjerikhet was an ancient Egyptian royal figure associated with the 6th Dynasty, likely a son or close relative of Pharaoh Pepi I or Pepi II.
-
A.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
B.
King’s Wing
King’s Wing is a prominent residential and ceremonial section of Frederiksborg Castle in Denmark, historically used by the Danish monarch.
-
C.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
D.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
E.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4973a1b288190bacdf56f8d4977bd |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49c0a92b08190ac5debb7d67ca776 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e8dc4ec81908d0defe77827d197 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:30 p.m.