Triple
T4066489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost World |
E86335
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jamie White
Jamie White is a film producer known for working on the movie "The Lost World."
|
E410494
|
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: Jamie White | Statement: [The Lost World, producer, Jamie White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie White Context triple: [The Lost World, producer, Jamie White]
-
A.
Hamish Stuart
Hamish Stuart is a Scottish musician, singer, and songwriter best known as a member of the Average White Band and for his extensive session and touring work with major artists.
-
B.
Jonathan Duncan
Jonathan Duncan was a British colonial administrator and reformer best known for his tenure as Governor of Bombay in the late 18th and early 19th centuries.
-
C.
Keir Mather
Keir Mather is a British Labour Party politician who became the youngest Member of Parliament in the UK upon his election in 2023.
-
D.
Iain Murray
Iain Murray is a machine learning researcher known for his contributions to probabilistic modeling and inference methods.
-
E.
Hamish McColl
Hamish McColl is a British comedian, actor, and writer best known for his work in film and television comedy, including collaborations with Rowan Atkinson.
- 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: Jamie White Triple: [The Lost World, producer, Jamie White]
Generated description
Jamie White is a film producer known for working on the movie "The Lost World."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jamie White Target entity description: Jamie White is a film producer known for working on the movie "The Lost World."
-
A.
Hamish Stuart
Hamish Stuart is a Scottish musician, singer, and songwriter best known as a member of the Average White Band and for his extensive session and touring work with major artists.
-
B.
Jonathan Duncan
Jonathan Duncan was a British colonial administrator and reformer best known for his tenure as Governor of Bombay in the late 18th and early 19th centuries.
-
C.
Keir Mather
Keir Mather is a British Labour Party politician who became the youngest Member of Parliament in the UK upon his election in 2023.
-
D.
Iain Murray
Iain Murray is a machine learning researcher known for his contributions to probabilistic modeling and inference methods.
-
E.
Hamish McColl
Hamish McColl is a British comedian, actor, and writer best known for his work in film and television comedy, including collaborations with Rowan Atkinson.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf58d9c8190936e453b0d397cb0 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b17c888190ac4771f2bb4f0d58 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.