Triple
T18618390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasrin Sotoudeh |
E455087
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Mehraveh Khandan
Mehraveh Khandan is the daughter of prominent Iranian human rights lawyer and activist Nasrin Sotoudeh.
|
E1334473
|
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: Mehraveh Khandan | Statement: [Nasrin Sotoudeh, hasChild, Mehraveh Khandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehraveh Khandan Context triple: [Nasrin Sotoudeh, hasChild, Mehraveh Khandan]
-
A.
Al Yeganeh
Al Yeganeh is a New York City soup vendor and restaurateur whose strict, idiosyncratic service style inspired the famous "Soup Nazi" character on the television show Seinfeld.
-
B.
Rūzbeh
Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
-
C.
Malakeh Madar
Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
-
D.
Shaghayegh Farahani
Shaghayegh Farahani is an Iranian actress known for her work in Iranian cinema and television, and as a member of the prominent Farahani artistic family.
-
E.
Afsaneh
Afsaneh is a landmark modern Persian poem by Nima Yooshij that helped inaugurate contemporary Iranian poetry.
- 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: Mehraveh Khandan Triple: [Nasrin Sotoudeh, hasChild, Mehraveh Khandan]
Generated description
Mehraveh Khandan is the daughter of prominent Iranian human rights lawyer and activist Nasrin Sotoudeh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mehraveh Khandan Target entity description: Mehraveh Khandan is the daughter of prominent Iranian human rights lawyer and activist Nasrin Sotoudeh.
-
A.
Al Yeganeh
Al Yeganeh is a New York City soup vendor and restaurateur whose strict, idiosyncratic service style inspired the famous "Soup Nazi" character on the television show Seinfeld.
-
B.
Rūzbeh
Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
-
C.
Malakeh Madar
Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
-
D.
Shaghayegh Farahani
Shaghayegh Farahani is an Iranian actress known for her work in Iranian cinema and television, and as a member of the prominent Farahani artistic family.
-
E.
Afsaneh
Afsaneh is a landmark modern Persian poem by Nima Yooshij that helped inaugurate contemporary Iranian poetry.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d06c1f8819094fbfa56eca07eaa |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d7423d88190a8ec0f7f8b35a535 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050e7895508190b6f9d677acb97c64 |
completed | May 13, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050f0dac088190a8455c7219e3c709 |
completed | May 13, 2026, 11:53 p.m. |
Created at: April 10, 2026, 11:46 a.m.