Triple
T766744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossetians |
E16191
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object |
Ирон (Iron)
Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
|
E91499
|
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: Ирон (Iron) | Statement: [Ossetians, autonym, Ирон (Iron)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ирон (Iron) Context triple: [Ossetians, autonym, Ирон (Iron)]
-
A.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
B.
Ion
Ion is a short Platonic dialogue in which Socrates examines the nature of poetic inspiration and the rhapsode’s art through conversation with the professional reciter Ion.
-
C.
Ion
Ion is a figure in Greek mythology often associated with the legendary ancestry of the Ionian Greeks and the region of Ionia.
-
D.
Dawn Steel
Dawn Steel was a pioneering American film executive and producer, known as one of the first women to head a major Hollywood studio.
-
E.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
- 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: Ирон (Iron) Triple: [Ossetians, autonym, Ирон (Iron)]
Generated description
Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ирон (Iron) Target entity description: Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
-
A.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
B.
Ion
Ion is a short Platonic dialogue in which Socrates examines the nature of poetic inspiration and the rhapsode’s art through conversation with the professional reciter Ion.
-
C.
Ion
Ion is a figure in Greek mythology often associated with the legendary ancestry of the Ionian Greeks and the region of Ionia.
-
D.
Dawn Steel
Dawn Steel was a pioneering American film executive and producer, known as one of the first women to head a major Hollywood studio.
-
E.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6a0fee08190bf365d14c007e008 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a666760a4c8190afd00dbfc263be28 |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a66a6289a881909a2ada9c8a5ea091 |
completed | March 3, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66ad0da0081909fc828eccabf5b80 |
completed | March 3, 2026, 5 a.m. |
Created at: March 1, 2026, 7:37 p.m.