Triple
T20932335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cow |
E515499
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Fereydun Ghovanlou
Fereydun Ghovanlou is an Iranian cinematographer best known for his work on influential films of the Iranian New Wave.
|
E1509629
|
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: Fereydun Ghovanlou | Statement: [The Cow, cinematographyBy, Fereydun Ghovanlou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fereydun Ghovanlou Context triple: [The Cow, cinematographyBy, Fereydun Ghovanlou]
-
A.
Manouchehr Eghbal
Manouchehr Eghbal was an Iranian physician and politician who served as prime minister under Shah Mohammad Reza Pahlavi during the late 1950s.
-
B.
Bahador Foladi
Bahador Foladi is an Iranian actor best known for his roles in contemporary Persian-language television series and films.
-
C.
Parviz Malekzadeh
Parviz Malekzadeh is an Iranian cinematographer best known for his work on the acclaimed film "Children of Heaven."
-
D.
Behdad Eghbali
Behdad Eghbali is an American private equity investor and co-founder of Clearlake Capital Group, known for major investments in sports, technology, and industrial companies.
-
E.
Ali-Asghar Shahbazi
Ali-Asghar Shahbazi was an Iranian actor best known for his role as the elderly father in the acclaimed film "A Separation."
- 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: Fereydun Ghovanlou Triple: [The Cow, cinematographyBy, Fereydun Ghovanlou]
Generated description
Fereydun Ghovanlou is an Iranian cinematographer best known for his work on influential films of the Iranian New Wave.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fereydun Ghovanlou Target entity description: Fereydun Ghovanlou is an Iranian cinematographer best known for his work on influential films of the Iranian New Wave.
-
A.
Manouchehr Eghbal
Manouchehr Eghbal was an Iranian physician and politician who served as prime minister under Shah Mohammad Reza Pahlavi during the late 1950s.
-
B.
Bahador Foladi
Bahador Foladi is an Iranian actor best known for his roles in contemporary Persian-language television series and films.
-
C.
Parviz Malekzadeh
Parviz Malekzadeh is an Iranian cinematographer best known for his work on the acclaimed film "Children of Heaven."
-
D.
Behdad Eghbali
Behdad Eghbali is an American private equity investor and co-founder of Clearlake Capital Group, known for major investments in sports, technology, and industrial companies.
-
E.
Ali-Asghar Shahbazi
Ali-Asghar Shahbazi was an Iranian actor best known for his role as the elderly father in the acclaimed film "A Separation."
- 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_6a0a60c90c3081909f40801105c3da53 |
completed | May 18, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_6a0a62148bcc8190821fce96fbe6fd69 |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a627395d081909c2fd9e49284a236 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 12:49 p.m.