Triple
T13295174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Özgür Özel |
E316661
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Özel
Özel is a Turkish surname borne by various notable figures in Turkey, including politicians, academics, and public personalities.
|
E1032573
|
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: Özel | Statement: [Özgür Özel, familyName, Özel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Özel Context triple: [Özgür Özel, familyName, Özel]
-
A.
Şahsiyet
Şahsiyet is a critically acclaimed Turkish crime drama miniseries centered on an aging man who, after being diagnosed with Alzheimer’s, embarks on a vigilante quest for justice.
-
B.
The Special
The Special is the prophesied hero persona of Emmet Brickowski in "The LEGO Movie," representing an ordinary construction worker who becomes an unlikely savior of the LEGO universe.
-
C.
Special Kinda
Special Kinda is a song featured on Tiwa Savage’s EP "Water & Garri."
-
D.
Singur
Singur is a town in West Bengal, India, known nationally for its role in a major land acquisition and industrialization controversy involving the proposed Tata Nano car factory.
-
E.
Singular
Singular is a specialized computer algebra system focused on polynomial computations, ideal theory, and algebraic geometry.
- 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: Özel Triple: [Özgür Özel, familyName, Özel]
Generated description
Özel is a Turkish surname borne by various notable figures in Turkey, including politicians, academics, and public personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Özel Target entity description: Özel is a Turkish surname borne by various notable figures in Turkey, including politicians, academics, and public personalities.
-
A.
Şahsiyet
Şahsiyet is a critically acclaimed Turkish crime drama miniseries centered on an aging man who, after being diagnosed with Alzheimer’s, embarks on a vigilante quest for justice.
-
B.
The Special
The Special is the prophesied hero persona of Emmet Brickowski in "The LEGO Movie," representing an ordinary construction worker who becomes an unlikely savior of the LEGO universe.
-
C.
Special Kinda
Special Kinda is a song featured on Tiwa Savage’s EP "Water & Garri."
-
D.
Singur
Singur is a town in West Bengal, India, known nationally for its role in a major land acquisition and industrialization controversy involving the proposed Tata Nano car factory.
-
E.
Singular
Singular is a specialized computer algebra system focused on polynomial computations, ideal theory, and algebraic geometry.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99079c8508190b6208db9affcbc0e |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716dad3648190bf360955fbdfb2f0 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7177e07508190b46e6a12f09e7986 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f717e72b988190927b628022bcbf12 |
completed | May 3, 2026, 9:39 a.m. |
Created at: April 9, 2026, 9:28 p.m.