Triple
T10588738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Lotus |
E249925
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Nick Hall
Nick Hall is a television producer best known for his executive production work on the acclaimed HBO series "The White Lotus."
|
E873794
|
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: Nick Hall | Statement: [The White Lotus, executiveProducer, Nick Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Hall Context triple: [The White Lotus, executiveProducer, Nick Hall]
-
A.
Christopher Hall
Christopher Hall is a British television producer known for his work on acclaimed drama series, including the period comedy-drama "The Durrells in Corfu."
-
B.
Christopher Hall
Christopher Hall is the son of acclaimed French-English actress and dancer Leslie Caron.
-
C.
Jon Wright
Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
-
D.
Joe Tippett
Joe Tippett is an American actor known for his work in television, film, and theater, including a notable role in the HBO crime drama miniseries "Mare of Easttown."
-
E.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
- 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: Nick Hall Triple: [The White Lotus, executiveProducer, Nick Hall]
Generated description
Nick Hall is a television producer best known for his executive production work on the acclaimed HBO series "The White Lotus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Hall Target entity description: Nick Hall is a television producer best known for his executive production work on the acclaimed HBO series "The White Lotus."
-
A.
Christopher Hall
Christopher Hall is a British television producer known for his work on acclaimed drama series, including the period comedy-drama "The Durrells in Corfu."
-
B.
Christopher Hall
Christopher Hall is the son of acclaimed French-English actress and dancer Leslie Caron.
-
C.
Jon Wright
Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
-
D.
Joe Tippett
Joe Tippett is an American actor known for his work in television, film, and theater, including a notable role in the HBO crime drama miniseries "Mare of Easttown."
-
E.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527793c588190bfe3a5261eb7f919 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e7df88081908e3d77f357f176e3 |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d95f97669881908b54ebcd1a7c6b34 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9602748608190b0c971accf44b7aa |
completed | April 10, 2026, 8:40 p.m. |
Created at: April 6, 2026, 12:40 p.m.