Triple
T8890104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Asghari |
E211640
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hesam
Hesam is the birth name of Sam Asghari, the Iranian-American model, actor, and fitness trainer known for his marriage to Britney Spears.
|
E763717
|
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: Hesam | Statement: [Sam Asghari, givenName, Hesam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hesam Context triple: [Sam Asghari, givenName, Hesam]
-
A.
Ehsan
Ehsan is a Persian given name commonly used for males in Iran and other Persian-speaking or Muslim-majority countries.
-
B.
Reza
Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
-
C.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
D.
Soroush
Soroush is the surname of Abdolkarim Soroush, a prominent Iranian philosopher and religious intellectual known for his influential work on Islamic thought and political theory.
-
E.
Djavidan Hanem
Djavidan Hanem was a consort of Khedive Abbas II of Egypt, known as a prominent member of the late 19th- and early 20th-century Egyptian royal court.
- 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: Hesam Triple: [Sam Asghari, givenName, Hesam]
Generated description
Hesam is the birth name of Sam Asghari, the Iranian-American model, actor, and fitness trainer known for his marriage to Britney Spears.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hesam Target entity description: Hesam is the birth name of Sam Asghari, the Iranian-American model, actor, and fitness trainer known for his marriage to Britney Spears.
-
A.
Ehsan
Ehsan is a Persian given name commonly used for males in Iran and other Persian-speaking or Muslim-majority countries.
-
B.
Reza
Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
-
C.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
D.
Soroush
Soroush is the surname of Abdolkarim Soroush, a prominent Iranian philosopher and religious intellectual known for his influential work on Islamic thought and political theory.
-
E.
Djavidan Hanem
Djavidan Hanem was a consort of Khedive Abbas II of Egypt, known as a prominent member of the late 19th- and early 20th-century Egyptian royal court.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc619188508190aacda410f0b4c98d |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabf01d048190bed52b5b001d7ffa |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9d65ac8190a8234e9999d14ec1 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad0a02888190a960e7b551ca2534 |
completed | April 3, 2026, 12:05 p.m. |
Created at: March 30, 2026, 6:53 p.m.