Triple
T21146778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedieh Tehrani |
E521076
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tehrani
Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
|
E1479662
|
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: Tehrani | Statement: [Hedieh Tehrani, familyName, Tehrani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tehrani Context triple: [Hedieh Tehrani, familyName, Tehrani]
-
A.
Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
-
B.
Shahr-e Rey
Shahr-e Rey is an ancient city now absorbed into the metropolitan area of Tehran, Iran, known for its long history as a major political and cultural center in the region.
-
C.
Teheran-ro
Teheran-ro is a major business and technology corridor in Seoul, South Korea, known for its concentration of corporate headquarters, startups, and high-rise office buildings.
-
D.
Mashhad
Mashhad is a major city in northeastern Iran renowned as a leading religious and cultural center of the Islamic world, centered around the shrine of Imam Reza.
-
E.
Isfahan
Isfahan is a historic Iranian city renowned for its Safavid-era architecture, grand mosques, and role as a major political and cultural center in early modern Persia.
- 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: Tehrani Triple: [Hedieh Tehrani, familyName, Tehrani]
Generated description
Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tehrani Target entity description: Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
-
A.
Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
-
B.
Shahr-e Rey
Shahr-e Rey is an ancient city now absorbed into the metropolitan area of Tehran, Iran, known for its long history as a major political and cultural center in the region.
-
C.
Teheran-ro
Teheran-ro is a major business and technology corridor in Seoul, South Korea, known for its concentration of corporate headquarters, startups, and high-rise office buildings.
-
D.
Mashhad
Mashhad is a major city in northeastern Iran renowned as a leading religious and cultural center of the Islamic world, centered around the shrine of Imam Reza.
-
E.
Isfahan
Isfahan is a historic Iranian city renowned for its Safavid-era architecture, grand mosques, and role as a major political and cultural center in early modern Persia.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fdc25481909d6648e09b069c41 |
completed | April 21, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad4bb0808190833649586a50b02c |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09adf244d481908bb02f99844f1cd0 |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae91d9cc8190a677124f1a0e1e4e |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 16, 2026, 2:58 p.m.