Triple
T7533282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoshenq I |
E178079
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Iuput A
Iuput A was an ancient Egyptian prince and high priest of Amun during the early 22nd Dynasty, active in the reign of his father, Pharaoh Shoshenq I.
|
E670946
|
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: Iuput A | Statement: [Shoshenq I, child, Iuput A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iuput A Context triple: [Shoshenq I, child, Iuput A]
-
A.
Iput I
Iput I was an ancient Egyptian queen of the Sixth Dynasty, likely a consort of King Teti and mother of King Pepi I Meryre.
-
B.
Iputinga
Iputinga is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
C.
QInput
QInput is a Quasar Framework UI component that provides a versatile, stylable text and form input field for Vue.js applications.
-
D.
IUP
IUP is a public research university in Indiana, Pennsylvania, known for its diverse undergraduate and graduate programs and regional academic influence.
-
E.
Anput
Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
- 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: Iuput A Triple: [Shoshenq I, child, Iuput A]
Generated description
Iuput A was an ancient Egyptian prince and high priest of Amun during the early 22nd Dynasty, active in the reign of his father, Pharaoh Shoshenq I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iuput A Target entity description: Iuput A was an ancient Egyptian prince and high priest of Amun during the early 22nd Dynasty, active in the reign of his father, Pharaoh Shoshenq I.
-
A.
Iput I
Iput I was an ancient Egyptian queen of the Sixth Dynasty, likely a consort of King Teti and mother of King Pepi I Meryre.
-
B.
Iputinga
Iputinga is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
C.
QInput
QInput is a Quasar Framework UI component that provides a versatile, stylable text and form input field for Vue.js applications.
-
D.
IUP
IUP is a public research university in Indiana, Pennsylvania, known for its diverse undergraduate and graduate programs and regional academic influence.
-
E.
Anput
Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f03485c8190829beb95a8be0236 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c84f9ce82081908813a1185b9b3570 |
completed | March 28, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8500e64788190b196988290aea7d7 |
completed | March 28, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:47 p.m.