Triple
T984577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Juvenile Award |
E21249
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Vincent Winter
Vincent Winter was a Scottish child actor who gained prominence in the 1950s and 1960s, later working behind the scenes in film production.
|
E115960
|
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: Vincent Winter | Statement: [Academy Juvenile Award, notableRecipient, Vincent Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Winter Context triple: [Academy Juvenile Award, notableRecipient, Vincent Winter]
-
A.
Harry Hart
Harry Hart is a suave, highly skilled British secret agent and mentor figure in the Kingsman film series.
-
B.
Tom Fleming
Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
-
C.
Charles Rackoff
Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
-
D.
Charles Hoover
Charles Hoover is a member of the Hoover family, known primarily as the brother of American engineer and diplomat Herbert Hoover Jr.
-
E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- 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: Vincent Winter Triple: [Academy Juvenile Award, notableRecipient, Vincent Winter]
Generated description
Vincent Winter was a Scottish child actor who gained prominence in the 1950s and 1960s, later working behind the scenes in film production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vincent Winter Target entity description: Vincent Winter was a Scottish child actor who gained prominence in the 1950s and 1960s, later working behind the scenes in film production.
-
A.
Harry Hart
Harry Hart is a suave, highly skilled British secret agent and mentor figure in the Kingsman film series.
-
B.
Tom Fleming
Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
-
C.
Charles Rackoff
Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
-
D.
Charles Hoover
Charles Hoover is a member of the Hoover family, known primarily as the brother of American engineer and diplomat Herbert Hoover Jr.
-
E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce3c6fc81909fbbf04eef1b997e |
completed | March 7, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_69ac1d45b8cc8190b8b678b697d3f7f1 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1e2e200881909e9b503655d6f8ab |
completed | March 7, 2026, 12:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.