Triple
T5095065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Stars |
E114845
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Barrett Deems
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
|
E503298
|
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: Barrett Deems | Statement: [All Stars, notableMember, Barrett Deems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrett Deems Context triple: [All Stars, notableMember, Barrett Deems]
-
A.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
B.
Tim DeKay
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
-
C.
Sam De Grasse
Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
-
D.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
E.
Emmett Kurzfeld
Emmett Kurzfeld is a supporting intelligence operative in the spy thriller film "Atomic Blonde," aiding the protagonist amid Cold War espionage in Berlin.
- 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: Barrett Deems Triple: [All Stars, notableMember, Barrett Deems]
Generated description
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barrett Deems Target entity description: Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
-
A.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
B.
Tim DeKay
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
-
C.
Sam De Grasse
Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
-
D.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
E.
Emmett Kurzfeld
Emmett Kurzfeld is a supporting intelligence operative in the spy thriller film "Atomic Blonde," aiding the protagonist amid Cold War espionage in Berlin.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7563ad608190879a26a0bf07c3f6 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef9de9c88190b06c5076e5eabe3e |
completed | March 21, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69bef21d57bc8190a77b90710911be6c |
completed | March 21, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef273eb088190ae8f0fa57663c8fb |
completed | March 21, 2026, 7:33 p.m. |
Created at: March 20, 2026, 1:40 p.m.