Triple
T14600793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peso |
E342696
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Abteen Bagheri
Abteen Bagheri is an American film and music video director known for his visually distinctive work with hip-hop and indie artists.
|
E1115974
|
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: Abteen Bagheri | Statement: [Peso, musicVideoDirector, Abteen Bagheri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abteen Bagheri Context triple: [Peso, musicVideoDirector, Abteen Bagheri]
-
A.
Arsalan Tavakoli-Shiraji
Arsalan Tavakoli-Shiraji is a technology entrepreneur and engineer best known as a co-founder of Databricks, a leading data and AI platform built around Apache Spark.
-
B.
Mozaffar Karimi
Mozaffar Karimi is an actor known for his role in the film "Rendition."
-
C.
Ali Amini
Ali Amini was a mid-20th-century Iranian politician and reformist statesman who briefly served as prime minister during the reign of Mohammad Reza Shah Pahlavi.
-
D.
Rahmat Shoureshi
Rahmat Shoureshi is an engineer and academic leader known for co-founding Lattice Semiconductor and serving in senior roles at several universities.
-
E.
Behzad Farahani
Behzad Farahani is an Iranian actor and playwright known for his significant contributions to Iranian theater and cinema.
- 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: Abteen Bagheri Triple: [Peso, musicVideoDirector, Abteen Bagheri]
Generated description
Abteen Bagheri is an American film and music video director known for his visually distinctive work with hip-hop and indie artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abteen Bagheri Target entity description: Abteen Bagheri is an American film and music video director known for his visually distinctive work with hip-hop and indie artists.
-
A.
Arsalan Tavakoli-Shiraji
Arsalan Tavakoli-Shiraji is a technology entrepreneur and engineer best known as a co-founder of Databricks, a leading data and AI platform built around Apache Spark.
-
B.
Mozaffar Karimi
Mozaffar Karimi is an actor known for his role in the film "Rendition."
-
C.
Ali Amini
Ali Amini was a mid-20th-century Iranian politician and reformist statesman who briefly served as prime minister during the reign of Mohammad Reza Shah Pahlavi.
-
D.
Rahmat Shoureshi
Rahmat Shoureshi is an engineer and academic leader known for co-founding Lattice Semiconductor and serving in senior roles at several universities.
-
E.
Behzad Farahani
Behzad Farahani is an Iranian actor and playwright known for his significant contributions to Iranian theater and cinema.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0763ca081909fa8bcbdc46f2fac |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf376f8a08190b28804213316459f |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf42f57fc81908f7b44f9795bc28a |
completed | May 8, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:25 a.m.