Triple
T16529919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrust2 |
E401536
|
entity |
| Predicate | projectLeader |
P11213
|
FINISHED |
| Object |
Richard Noble
Richard Noble is a British entrepreneur and former land speed record holder best known for leading high-speed car projects such as Thrust2.
|
E1218187
|
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: Richard Noble | Statement: [Thrust2, projectLeader, Richard Noble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Noble Context triple: [Thrust2, projectLeader, Richard Noble]
-
A.
Donald Campbell
Donald Campbell was a British speed record breaker famed for his attempts on both land and water, ultimately losing his life during a water speed record attempt on Coniston Water in 1967.
-
B.
Malcolm Campbell
Malcolm Campbell is a film editor known for his work on the comedy movie "Three Amigos."
-
C.
Malcolm Campbell
Malcolm Campbell was a renowned British racing motorist and speed record breaker who set multiple world land and water speed records in the early 20th century.
-
D.
Jim May
Jim May is a film editor best known for his work on major action movies, including the 2010 adaptation of "The A-Team."
-
E.
Jim May
Jim May is an editor known for his work on the role-playing game publication "Pathfinder."
- 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: Richard Noble Triple: [Thrust2, projectLeader, Richard Noble]
Generated description
Richard Noble is a British entrepreneur and former land speed record holder best known for leading high-speed car projects such as Thrust2.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Noble Target entity description: Richard Noble is a British entrepreneur and former land speed record holder best known for leading high-speed car projects such as Thrust2.
-
A.
Donald Campbell
Donald Campbell was a British speed record breaker famed for his attempts on both land and water, ultimately losing his life during a water speed record attempt on Coniston Water in 1967.
-
B.
Malcolm Campbell
Malcolm Campbell is a film editor known for his work on the comedy movie "Three Amigos."
-
C.
Malcolm Campbell
Malcolm Campbell was a renowned British racing motorist and speed record breaker who set multiple world land and water speed records in the early 20th century.
-
D.
Jim May
Jim May is a film editor best known for his work on major action movies, including the 2010 adaptation of "The A-Team."
-
E.
Jim May
Jim May is an editor known for his work on the role-playing game publication "Pathfinder."
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed625208190a68b879266b05b3f |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00609129808190b893346e06deb944 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0061d3e42c819092d4ece63661a327 |
completed | May 10, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00625771e88190ac355bbddb9b38ed |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:14 a.m.