Triple
T16331315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing Towers |
E396559
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Kernan Cripps
Kernan Cripps is an actor known for his role in the film "Crashing Towers."
|
E1207832
|
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: Kernan Cripps | Statement: [Crashing Towers, featuresActor, Kernan Cripps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kernan Cripps Context triple: [Crashing Towers, featuresActor, Kernan Cripps]
-
A.
Baron Cripps
Baron Cripps is a British noble title in the Peerage of the United Kingdom, created for a prominent member of the Cripps family.
-
B.
Bernard Cripps
Bernard Cripps is a notable member of the Cripps family, recognized for his prominence within this historically significant lineage.
-
C.
Stafford Cripps
Stafford Cripps was a prominent British Labour politician, lawyer, and diplomat who served as Chancellor of the Exchequer in the mid-20th century and played a major role in shaping postwar economic policy.
-
D.
Humphrey Cripps
Humphrey Cripps was a British businessman and philanthropist known for his significant contributions to education and the arts.
-
E.
N. Gopalaswami Ayyangar
N. Gopalaswami Ayyangar was an Indian civil servant, statesman, and constitutional expert who played a key role in shaping independent India’s governance and legal framework.
- 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: Kernan Cripps Triple: [Crashing Towers, featuresActor, Kernan Cripps]
Generated description
Kernan Cripps is an actor known for his role in the film "Crashing Towers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kernan Cripps Target entity description: Kernan Cripps is an actor known for his role in the film "Crashing Towers."
-
A.
Baron Cripps
Baron Cripps is a British noble title in the Peerage of the United Kingdom, created for a prominent member of the Cripps family.
-
B.
Bernard Cripps
Bernard Cripps is a notable member of the Cripps family, recognized for his prominence within this historically significant lineage.
-
C.
Stafford Cripps
Stafford Cripps was a prominent British Labour politician, lawyer, and diplomat who served as Chancellor of the Exchequer in the mid-20th century and played a major role in shaping postwar economic policy.
-
D.
Humphrey Cripps
Humphrey Cripps was a British businessman and philanthropist known for his significant contributions to education and the arts.
-
E.
N. Gopalaswami Ayyangar
N. Gopalaswami Ayyangar was an Indian civil servant, statesman, and constitutional expert who played a key role in shaping independent India’s governance and legal framework.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002613c0e88190b91da8eba683c864 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027854ce48190ad3fb09ecd7e2b9e |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0029f138d88190bf240ca524d9ad0a |
completed | May 10, 2026, 6:47 a.m. |
Created at: April 10, 2026, 5:07 a.m.