Triple
T3700267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Fox |
E78559
|
entity |
| Predicate | hasSiblings |
P363
|
FINISHED |
| Object |
Jack Fox
Jack Fox is a British actor known for his work in film, television, and theatre, and as a member of the Fox acting family.
|
E381036
|
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: Jack Fox | Statement: [Laurence Fox, hasSiblings, Jack Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Fox Context triple: [Laurence Fox, hasSiblings, Jack Fox]
-
A.
Virginia Fox
Virginia Fox was an American silent film actress who appeared in numerous comedies in the 1910s and 1920s and later became known for her long marriage to film producer Darryl F. Zanuck.
-
B.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
C.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
D.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
-
E.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
- 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: Jack Fox Triple: [Laurence Fox, hasSiblings, Jack Fox]
Generated description
Jack Fox is a British actor known for his work in film, television, and theatre, and as a member of the Fox acting family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Fox Target entity description: Jack Fox is a British actor known for his work in film, television, and theatre, and as a member of the Fox acting family.
-
A.
Virginia Fox
Virginia Fox was an American silent film actress who appeared in numerous comedies in the 1910s and 1920s and later became known for her long marriage to film producer Darryl F. Zanuck.
-
B.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
C.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
D.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
-
E.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3df86bc819088db92eecee69fd3 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c7e579d4819090edfa8a858c40c4 |
completed | March 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c86511e48190872b3d85019bc013 |
completed | March 14, 2026, 2:31 a.m. |
Created at: March 8, 2026, 3:26 p.m.