Triple
T19681517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Empire |
E472601
|
entity |
| Predicate | hasRider |
P59648
|
FINISHED |
| Object |
Daniel Bluman
Daniel Bluman is an Israeli-Colombian international show jumping rider known for competing at the highest levels of the sport, including the Olympics and major global tours.
|
E1528037
|
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: Daniel Bluman | Statement: [New York Empire, hasRider, Daniel Bluman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Bluman Context triple: [New York Empire, hasRider, Daniel Bluman]
-
A.
Daniel Blumberg
Daniel Blumberg is a British musician and composer known for his experimental work in indie rock and film scores.
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
D.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
E.
Kevin Gimpel
Kevin Gimpel is a computer scientist and researcher in natural language processing and machine learning, known for his work on deep learning models for language understanding.
- 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: Daniel Bluman Triple: [New York Empire, hasRider, Daniel Bluman]
Generated description
Daniel Bluman is an Israeli-Colombian international show jumping rider known for competing at the highest levels of the sport, including the Olympics and major global tours.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Bluman Target entity description: Daniel Bluman is an Israeli-Colombian international show jumping rider known for competing at the highest levels of the sport, including the Olympics and major global tours.
-
A.
Daniel Blumberg
Daniel Blumberg is a British musician and composer known for his experimental work in indie rock and film scores.
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
D.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
E.
Kevin Gimpel
Kevin Gimpel is a computer scientist and researcher in natural language processing and machine learning, known for his work on deep learning models for language understanding.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bf97348190bc31b00ed4ec6cad |
completed | April 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abc87cab08190b9a5457ba9868784 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abd6207688190ab6ba1a04fa663a7 |
completed | May 18, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abe80fe7c8190a648efabc360b06d |
completed | May 18, 2026, 7:23 a.m. |
Created at: April 10, 2026, 1:45 p.m.