Triple
T10225677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9-1-1: Lone Star |
E243196
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Marjan Marwani
Marjan Marwani is a devout Muslim firefighter and paramedic known for her bravery, social media presence, and strong moral convictions on the TV series "9-1-1: Lone Star."
|
E852794
|
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: Marjan Marwani | Statement: [9-1-1: Lone Star, character, Marjan Marwani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjan Marwani Context triple: [9-1-1: Lone Star, character, Marjan Marwani]
-
A.
Parvin Ardalan
Parvin Ardalan is an Iranian feminist writer and human rights activist known for her leading role in Iran’s women’s rights movement.
-
B.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
C.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
D.
Malakeh Madar
Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
-
E.
Delaram Ali
Delaram Ali is an Iranian women's rights activist known for her prominent role in Iran’s One Million Signatures Campaign challenging discriminatory laws against women.
- 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: Marjan Marwani Triple: [9-1-1: Lone Star, character, Marjan Marwani]
Generated description
Marjan Marwani is a devout Muslim firefighter and paramedic known for her bravery, social media presence, and strong moral convictions on the TV series "9-1-1: Lone Star."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marjan Marwani Target entity description: Marjan Marwani is a devout Muslim firefighter and paramedic known for her bravery, social media presence, and strong moral convictions on the TV series "9-1-1: Lone Star."
-
A.
Parvin Ardalan
Parvin Ardalan is an Iranian feminist writer and human rights activist known for her leading role in Iran’s women’s rights movement.
-
B.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
C.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
D.
Malakeh Madar
Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
-
E.
Delaram Ali
Delaram Ali is an Iranian women's rights activist known for her prominent role in Iran’s One Million Signatures Campaign challenging discriminatory laws against women.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.