Triple
T16774230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siglos |
E407680
|
entity |
| Predicate | complements |
P162
|
FINISHED |
| Object | daric |
E83626
|
NE FINISHED |
How this triple was built (2 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: [siglos, complements, daric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: daric Context triple: [siglos, complements, daric]
-
A.
daric
chosen
The daric was a high-purity gold coin of the Achaemenid Persian Empire, widely used across its territories and influential in ancient Near Eastern and Greek economies.
-
B.
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.
-
C.
Dar
Dar is a character from the 1935 French film "Princesse Tam-Tam," which starred Josephine Baker.
-
D.
Dar
Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
-
E.
DRAC
DRAC is the French acronym for the Regional Directorates of Cultural Affairs, which are state administrations responsible for implementing national cultural policy at the regional level in France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b038d0608190be15c758427bb664 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28592c08190855a7fa5b0a350f5 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:22 a.m.