Triple
T12476561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dictator |
E298189
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object |
Tamir
Tamir is a fictional character from the satirical comedy film "The Dictator," which stars Sacha Baron Cohen as a despotic North African leader.
|
E985341
|
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: Tamir | Statement: [The Dictator, characterRole, Tamir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamir Context triple: [The Dictator, characterRole, Tamir]
-
A.
Yariv
Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
-
B.
Namir
Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
-
C.
Yair
Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
-
D.
Noga
Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
-
E.
Eyal
Eyal is a masculine given name of Hebrew origin, commonly used in Israel.
- 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: Tamir Triple: [The Dictator, characterRole, Tamir]
Generated description
Tamir is a fictional character from the satirical comedy film "The Dictator," which stars Sacha Baron Cohen as a despotic North African leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamir Target entity description: Tamir is a fictional character from the satirical comedy film "The Dictator," which stars Sacha Baron Cohen as a despotic North African leader.
-
A.
Yariv
Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
-
B.
Namir
Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
-
C.
Yair
Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
-
D.
Noga
Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
-
E.
Eyal
Eyal is a masculine given name of Hebrew origin, commonly used in Israel.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcc24e48190ae9c367a03f659f4 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f25462881908dccb831b474875d |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f64278823c81908db729497000a2e4 |
completed | May 2, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f643089abc8190b366e777ef48982a |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 8, 2026, 9:56 p.m.