Triple
T18514471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Davis |
E452423
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Andrew Davis
Andrew Davis is a common personal name shared by multiple notable individuals across fields such as film directing, music conducting, and politics.
|
E1328805
|
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: Andrew Davis | Statement: [Andrew Davis, name, Andrew Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Davis Context triple: [Andrew Davis, name, Andrew Davis]
-
A.
Andrew Davis
Andrew Davis is a renowned British conductor celebrated for his leadership of major orchestras and opera companies, particularly in North America and the United Kingdom.
-
B.
Andrew Davis
Andrew Davis is an American film director best known for action and adventure movies such as "The Fugitive" and the family film "Holes."
-
C.
Ron Winston
Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
-
D.
David Shire
David Shire is an American composer best known for his film and television scores, including acclaimed work in the 1970s.
-
E.
Gordon Douglas
Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
- 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: Andrew Davis Triple: [Andrew Davis, name, Andrew Davis]
Generated description
Andrew Davis is a common personal name shared by multiple notable individuals across fields such as film directing, music conducting, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Davis Target entity description: Andrew Davis is a common personal name shared by multiple notable individuals across fields such as film directing, music conducting, and politics.
-
A.
Andrew Davis
Andrew Davis is a renowned British conductor celebrated for his leadership of major orchestras and opera companies, particularly in North America and the United Kingdom.
-
B.
Andrew Davis
Andrew Davis is an American film director best known for action and adventure movies such as "The Fugitive" and the family film "Holes."
-
C.
Ron Winston
Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
-
D.
David Shire
David Shire is an American composer best known for his film and television scores, including acclaimed work in the 1970s.
-
E.
Gordon Douglas
Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53349415c8190b989b536e2d1c40a |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04916c1cb88190889ad7d1c1dc4279 |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a04921b1a508190b8bb6d6c4597ab99 |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0492ba4ea08190b59510b221ad5d21 |
completed | May 13, 2026, 3:03 p.m. |
Created at: April 10, 2026, 11:36 a.m.