Triple
T18894442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Biletnikoff |
E462174
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Biletnikoff
Biletnikoff is a surname most famously associated with Hall of Fame American football wide receiver Fred Biletnikoff.
|
E1348281
|
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: Biletnikoff | Statement: [Fred Biletnikoff, familyName, Biletnikoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biletnikoff Context triple: [Fred Biletnikoff, familyName, Biletnikoff]
-
A.
Batitsky
Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
-
B.
Klementieff
Klementieff is the surname of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
-
C.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
D.
Saltykoff
Saltykoff is a variant spelling of the Russian noble family name Saltykov, historically associated with an influential aristocratic lineage in Russia.
-
E.
Khoyski
Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
- 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: Biletnikoff Triple: [Fred Biletnikoff, familyName, Biletnikoff]
Generated description
Biletnikoff is a surname most famously associated with Hall of Fame American football wide receiver Fred Biletnikoff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biletnikoff Target entity description: Biletnikoff is a surname most famously associated with Hall of Fame American football wide receiver Fred Biletnikoff.
-
A.
Batitsky
Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
-
B.
Klementieff
Klementieff is the surname of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
-
C.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
D.
Saltykoff
Saltykoff is a variant spelling of the Russian noble family name Saltykov, historically associated with an influential aristocratic lineage in Russia.
-
E.
Khoyski
Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47dfa8c8190940858a010129d13 |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582b91a448190b080d3c9c958f2b2 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a0588c516ec81908d6939f447e7f590 |
completed | May 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0589612cbc819086bccc55658921e0 |
completed | May 14, 2026, 8:35 a.m. |
Created at: April 10, 2026, 11:58 a.m.