Triple
T3001841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artaxerxes I of Persia |
E81804
|
entity |
| Predicate | coinage |
P11786
|
FINISHED |
| Object |
Daric
The Daric was a high-purity gold coin of the Achaemenid Persian Empire, widely used across its territories and emblematic of its economic power.
|
E319270
|
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: Daric | Statement: [Artaxerxes I of Persia, coinage, Daric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daric Context triple: [Artaxerxes I of Persia, coinage, Daric]
-
A.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
B.
Darek
Darek is a given name, typically a variant spelling of Derek used in various European countries.
-
C.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
-
D.
Aletes
Aletes is a figure from Greek mythology, traditionally regarded as a descendant of Heracles and associated with the royal lineage that ruled parts of the Peloponnese.
-
E.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
- 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: Daric Triple: [Artaxerxes I of Persia, coinage, Daric]
Generated description
The Daric was a high-purity gold coin of the Achaemenid Persian Empire, widely used across its territories and emblematic of its economic power.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daric Target entity description: The Daric was a high-purity gold coin of the Achaemenid Persian Empire, widely used across its territories and emblematic of its economic power.
-
A.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
B.
Darek
Darek is a given name, typically a variant spelling of Derek used in various European countries.
-
C.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
-
D.
Aletes
Aletes is a figure from Greek mythology, traditionally regarded as a descendant of Heracles and associated with the royal lineage that ruled parts of the Peloponnese.
-
E.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a11b4bc81909ce06121361b4e0f |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e4f02248190890eb3944299bd15 |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b12eb153b481909251dd72a7ca55d4 |
completed | March 11, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1d65c9550819081e8734cece6ff13 |
completed | March 11, 2026, 8:53 p.m. |
Created at: March 8, 2026, 2:59 p.m.