Triple
T14837357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedo Türkoğlu |
E348866
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Hedo
Hedo is the commonly used nickname of Hedo Türkoğlu, a retired Turkish professional basketball player best known for his NBA career with teams like the Orlando Magic.
|
E1121770
|
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: Hedo | Statement: [Hedo Türkoğlu, nickname, Hedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedo Context triple: [Hedo Türkoğlu, nickname, Hedo]
-
A.
Hedebrant
Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
-
B.
Ehden
Ehden is a mountainous town and summer resort in northern Lebanon known for its cool climate, historic churches, and proximity to the Horsh Ehden Nature Reserve.
-
C.
Ennea Hodoi
Ennea Hodoi was an ancient settlement in Thrace that served as an early precursor to the later city of Amphipolis in classical Greece.
-
D.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
E.
Sharod
Sharod is the given first name of former NFL wide receiver Roddy White.
- 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: Hedo Triple: [Hedo Türkoğlu, nickname, Hedo]
Generated description
Hedo is the commonly used nickname of Hedo Türkoğlu, a retired Turkish professional basketball player best known for his NBA career with teams like the Orlando Magic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hedo Target entity description: Hedo is the commonly used nickname of Hedo Türkoğlu, a retired Turkish professional basketball player best known for his NBA career with teams like the Orlando Magic.
-
A.
Hedebrant
Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
-
B.
Ehden
Ehden is a mountainous town and summer resort in northern Lebanon known for its cool climate, historic churches, and proximity to the Horsh Ehden Nature Reserve.
-
C.
Ennea Hodoi
Ennea Hodoi was an ancient settlement in Thrace that served as an early precursor to the later city of Amphipolis in classical Greece.
-
D.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
E.
Sharod
Sharod is the given first name of former NFL wide receiver Roddy White.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5096b15481908f7794f9da78141a |
completed | May 8, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe510d4164819080c4000af3e39bf8 |
completed | May 8, 2026, 9:09 p.m. |
Created at: April 10, 2026, 1:52 a.m.