Triple
T14805353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crash (2004 film) |
E348019
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Bahar Soomekh
Bahar Soomekh is an Iranian-born American actress best known for her roles in the films "Crash" and "Saw III."
|
E1121301
|
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: Bahar Soomekh | Statement: [Crash (2004 film), starring, Bahar Soomekh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahar Soomekh Context triple: [Crash (2004 film), starring, Bahar Soomekh]
-
A.
Zena Barakat
Zena Barakat is a film producer known for her work on the political documentary "Casino Jack and the United States of Money."
-
B.
Kinan Azmeh
Kinan Azmeh is a Syrian clarinetist and composer known for blending classical, jazz, and Middle Eastern musical traditions in his performances and compositions.
-
C.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
D.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
E.
Mona Khalidi
Mona Khalidi is known primarily as the wife of Palestinian-American historian and Columbia University professor Rashid Khalidi.
- 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: Bahar Soomekh Triple: [Crash (2004 film), starring, Bahar Soomekh]
Generated description
Bahar Soomekh is an Iranian-born American actress best known for her roles in the films "Crash" and "Saw III."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bahar Soomekh Target entity description: Bahar Soomekh is an Iranian-born American actress best known for her roles in the films "Crash" and "Saw III."
-
A.
Zena Barakat
Zena Barakat is a film producer known for her work on the political documentary "Casino Jack and the United States of Money."
-
B.
Kinan Azmeh
Kinan Azmeh is a Syrian clarinetist and composer known for blending classical, jazz, and Middle Eastern musical traditions in his performances and compositions.
-
C.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
D.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
E.
Mona Khalidi
Mona Khalidi is known primarily as the wife of Palestinian-American historian and Columbia University professor Rashid Khalidi.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe2d9c08d0819094d3affc082f4f8a |
completed | May 8, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2e0b3514819097f2d9d63cb6a143 |
completed | May 8, 2026, 6:40 p.m. |
Created at: April 10, 2026, 1:34 a.m.