Triple
T13558952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arliss |
E323853
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jim Turner
Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
|
E1047706
|
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: Jim Turner | Statement: [Arliss, starring, Jim Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Turner Context triple: [Arliss, starring, Jim Turner]
-
A.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
B.
Jake LaTurner
Jake LaTurner is a Republican politician and U.S. Representative from Kansas who previously served as the Kansas State Treasurer and in the Kansas Senate.
-
C.
Curtis Turner
Curtis Turner was a pioneering American NASCAR driver and entrepreneur known for his aggressive driving style and influential role in the early development of stock car racing.
-
D.
Dale Turner
Dale Turner is a musician best known as a member of the American new wave band Oingo Boingo.
-
E.
A. J. Turner
A. J. Turner is a relatively obscure individual whose specific notability is not clearly established in widely available public sources.
- 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: Jim Turner Triple: [Arliss, starring, Jim Turner]
Generated description
Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Turner Target entity description: Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
-
A.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
B.
Jake LaTurner
Jake LaTurner is a Republican politician and U.S. Representative from Kansas who previously served as the Kansas State Treasurer and in the Kansas Senate.
-
C.
Curtis Turner
Curtis Turner was a pioneering American NASCAR driver and entrepreneur known for his aggressive driving style and influential role in the early development of stock car racing.
-
D.
Dale Turner
Dale Turner is a musician best known as a member of the American new wave band Oingo Boingo.
-
E.
A. J. Turner
A. J. Turner is a relatively obscure individual whose specific notability is not clearly established in widely available public sources.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dab4974819097880ad4d50f1b34 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f761bd24ac8190b1fd8fdabc8ce252 |
completed | May 3, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76226ac888190b0c6f0eabd337066 |
completed | May 3, 2026, 2:56 p.m. |
Created at: April 9, 2026, 9:47 p.m.