Triple
T8344121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hossein Amanat |
E195992
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Amanat
Amanat is a Persian surname most notably associated with architect Hossein Amanat, designer of Tehran’s iconic Azadi Tower.
|
E728620
|
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: Amanat | Statement: [Hossein Amanat, familyName, Amanat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanat Context triple: [Hossein Amanat, familyName, Amanat]
-
A.
Amanush
Amanush is a 1975 Bengali-Hindi thriller drama film, widely remembered for Uttam Kumar’s acclaimed performance and its exploration of betrayal and redemption in a rural setting.
-
B.
Aman
Aman is the blessed, undying western land in J.R.R. Tolkien’s Middle-earth legendarium, home of the Valar and the immortal Elves.
-
C.
Aman
Aman is the Israeli Military Intelligence Directorate responsible for collecting, analyzing, and disseminating intelligence for the Israel Defense Forces.
-
D.
Aman
Aman is a male given name commonly used in various cultures, often meaning "peace" or "safety."
-
E.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
- 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: Amanat Triple: [Hossein Amanat, familyName, Amanat]
Generated description
Amanat is a Persian surname most notably associated with architect Hossein Amanat, designer of Tehran’s iconic Azadi Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanat Target entity description: Amanat is a Persian surname most notably associated with architect Hossein Amanat, designer of Tehran’s iconic Azadi Tower.
-
A.
Amanush
Amanush is a 1975 Bengali-Hindi thriller drama film, widely remembered for Uttam Kumar’s acclaimed performance and its exploration of betrayal and redemption in a rural setting.
-
B.
Aman
Aman is the blessed, undying western land in J.R.R. Tolkien’s Middle-earth legendarium, home of the Valar and the immortal Elves.
-
C.
Aman
Aman is the Israeli Military Intelligence Directorate responsible for collecting, analyzing, and disseminating intelligence for the Israel Defense Forces.
-
D.
Aman
Aman is a male given name commonly used in various cultures, often meaning "peace" or "safety."
-
E.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fed6b588190ba5593859c8effc2 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc733f7848190ab60098cb178dbfc |
completed | April 2, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69cdcc8596888190867bb0f298b6fac1 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd14de9408190a5522fbdbef4d748 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 5:58 p.m.