Triple
T5246822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Kubek |
E118480
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kubek
Kubek is the surname of Tony Kubek, a former Major League Baseball shortstop and longtime television sportscaster best known for his years with the New York Yankees.
|
E505103
|
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: Kubek | Statement: [Tony Kubek, familyName, Kubek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kubek Context triple: [Tony Kubek, familyName, Kubek]
-
A.
Kubelsky
Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
-
B.
Buksa
Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
-
C.
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
D.
Bobotov Kuk
Bobotov Kuk is a prominent mountain peak in Montenegro’s Durmitor range, renowned for its dramatic limestone cliffs and panoramic views.
-
E.
Kragle
The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
- 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: Kubek Triple: [Tony Kubek, familyName, Kubek]
Generated description
Kubek is the surname of Tony Kubek, a former Major League Baseball shortstop and longtime television sportscaster best known for his years with the New York Yankees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kubek Target entity description: Kubek is the surname of Tony Kubek, a former Major League Baseball shortstop and longtime television sportscaster best known for his years with the New York Yankees.
-
A.
Kubelsky
Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
-
B.
Buksa
Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
-
C.
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
D.
Bobotov Kuk
Bobotov Kuk is a prominent mountain peak in Montenegro’s Durmitor range, renowned for its dramatic limestone cliffs and panoramic views.
-
E.
Kragle
The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b5320748190bcf3be4b6c364f92 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef836d158819092cdd22e0dbc9dae |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8d1cc2c8190aa8cf712f14d0565 |
completed | March 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef95e7ce48190a1ec2fc27ce37d00 |
completed | March 21, 2026, 8:02 p.m. |
Created at: March 20, 2026, 1:50 p.m.