Triple
T10326809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th Dynasty of Egypt |
E242782
|
entity |
| Predicate | hasPharaoh |
P21274
|
FINISHED |
| Object |
Pantjeny
Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
|
E855540
|
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: Pantjeny | Statement: [13th Dynasty of Egypt, hasPharaoh, Pantjeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantjeny Context triple: [13th Dynasty of Egypt, hasPharaoh, Pantjeny]
-
A.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
B.
Patitiri
Patitiri is the main port town and administrative center of the Greek island of Alonnisos in the Northern Sporades.
-
C.
Pölsan
Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
-
D.
Pintuyan
Pintuyan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its marine biodiversity and whale shark watching.
-
E.
Pervyse
Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
- 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: Pantjeny Triple: [13th Dynasty of Egypt, hasPharaoh, Pantjeny]
Generated description
Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pantjeny Target entity description: Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
-
A.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
B.
Patitiri
Patitiri is the main port town and administrative center of the Greek island of Alonnisos in the Northern Sporades.
-
C.
Pölsan
Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
-
D.
Pintuyan
Pintuyan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its marine biodiversity and whale shark watching.
-
E.
Pervyse
Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ce69b881909f27d97c90643634 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dafa9308190ae0d3c34ba0c58b1 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d731887d2081908e6b4e33d400582f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329189708190bbd21bd40ec029b0 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:51 a.m.