Triple
T20931950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakhshan Bani-Etemad |
E515491
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Baran Kosari
Baran Kosari is an Iranian actress known for her acclaimed performances in contemporary Iranian cinema.
|
E1458088
|
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: Baran Kosari | Statement: [Rakhshan Bani-Etemad, child, Baran Kosari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baran Kosari Context triple: [Rakhshan Bani-Etemad, child, Baran Kosari]
-
A.
Baran
Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
-
B.
Baran
Baran is a city in the Hadoti region of Rajasthan, India, known for its historical temples, forts, and proximity to natural attractions like waterfalls and wildlife sanctuaries.
-
C.
Babacan
Babacan is a Turkish surname most prominently associated with Ali Babacan, a leading Turkish economist and politician.
-
D.
Basarke
Basarke is a village in the Amritsar district of Punjab, India, historically significant as the birthplace of the third Sikh Guru, Guru Amar Das.
-
E.
Köroghlu
Köroghlu is a legendary folk hero and bard of Turkic epic tradition, celebrated for leading rebellions against injustice and inspiring oral poetry across Anatolia, the Caucasus, and Central Asia.
- 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: Baran Kosari Triple: [Rakhshan Bani-Etemad, child, Baran Kosari]
Generated description
Baran Kosari is an Iranian actress known for her acclaimed performances in contemporary Iranian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baran Kosari Target entity description: Baran Kosari is an Iranian actress known for her acclaimed performances in contemporary Iranian cinema.
-
A.
Baran
Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
-
B.
Baran
Baran is a city in the Hadoti region of Rajasthan, India, known for its historical temples, forts, and proximity to natural attractions like waterfalls and wildlife sanctuaries.
-
C.
Babacan
Babacan is a Turkish surname most prominently associated with Ali Babacan, a leading Turkish economist and politician.
-
D.
Basarke
Basarke is a village in the Amritsar district of Punjab, India, historically significant as the birthplace of the third Sikh Guru, Guru Amar Das.
-
E.
Köroghlu
Köroghlu is a legendary folk hero and bard of Turkic epic tradition, celebrated for leading rebellions against injustice and inspiring oral poetry across Anatolia, the Caucasus, and Central Asia.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fd064248190ae7ae1c980b68b8c |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a0920c37ec48190a043097a24151022 |
completed | May 17, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09219be3c48190a610062e59e05876 |
completed | May 17, 2026, 2:02 a.m. |
Created at: April 16, 2026, 12:49 p.m.