Triple
T14765478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Night |
E346982
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
John Davis
John Davis is a film producer known for his work on numerous Hollywood movies, including the comedy thriller "Game Night."
|
E251894
|
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: John Davis | Statement: [Game Night, producer, John Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Davis Context triple: [Game Night, producer, John Davis]
-
A.
John Davis
John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
-
B.
John Davis
John Davis was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
-
C.
John Davis
John Davis was the husband of Sarah Breedlove, better known as Madam C. J. Walker, the pioneering African American entrepreneur and philanthropist.
-
D.
John Davis
John Davis was a British special operations officer who served with the World War II clandestine unit Force 136, conducting covert missions in Japanese-occupied territories in Southeast Asia.
-
E.
John Davis
John Davis is an Australian climber best known for leading the first successful ascent of the remote sea stack Ball's Pyramid in 1965.
- 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: John Davis Triple: [Game Night, producer, John Davis]
Generated description
John Davis is a film producer known for his work on numerous Hollywood movies, including the comedy thriller "Game Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Davis Target entity description: John Davis is a film producer known for his work on numerous Hollywood movies, including the comedy thriller "Game Night."
-
A.
John Davis
chosen
John Davis is a prominent American film and television producer known for founding Davis Entertainment and producing numerous major studio movies and series.
-
B.
John Davis
John Davis was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
-
C.
John Davis
John Davis was the husband of Sarah Breedlove, better known as Madam C. J. Walker, the pioneering African American entrepreneur and philanthropist.
-
D.
John Davis
John Davis was a British special operations officer who served with the World War II clandestine unit Force 136, conducting covert missions in Japanese-occupied territories in Southeast Asia.
-
E.
John Davis
John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
- F. None of above.
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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd1a1b48190b3b69b2841f643a3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec17d53448190942e5df10ffad4e5 |
completed | May 9, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec2300c4481908892a6515d99c12f |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 1:30 a.m.