Triple
T16039436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George William Crisp |
E389054
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Crisp
Crisp is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
|
E1190719
|
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: Crisp | Statement: [George William Crisp, familyName, Crisp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crisp Context triple: [George William Crisp, familyName, Crisp]
-
A.
Crisp
Crisp was an Australian acid jazz band that served as one of Sia's earliest musical projects before her solo career.
-
B.
Crunch
Crunch is a professional ice hockey team based in Syracuse, New York, competing in the American Hockey League as an affiliate of the NHL's Tampa Bay Lightning.
-
C.
Crunchy Black
Crunchy Black is an American rapper and hypeman best known as a founding member of the Memphis hip hop group Three 6 Mafia.
-
D.
Golden Crisp
Golden Crisp is a sweet, puffed wheat breakfast cereal known for its honey-like flavor and long-time cartoon mascot Sugar Bear.
-
E.
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
- 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: Crisp Triple: [George William Crisp, familyName, Crisp]
Generated description
Crisp is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crisp Target entity description: Crisp is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
A.
Crisp
Crisp was an Australian acid jazz band that served as one of Sia's earliest musical projects before her solo career.
-
B.
Crunch
Crunch is a professional ice hockey team based in Syracuse, New York, competing in the American Hockey League as an affiliate of the NHL's Tampa Bay Lightning.
-
C.
Crunchy Black
Crunchy Black is an American rapper and hypeman best known as a founding member of the Memphis hip hop group Three 6 Mafia.
-
D.
Golden Crisp
Golden Crisp is a sweet, puffed wheat breakfast cereal known for its honey-like flavor and long-time cartoon mascot Sugar Bear.
-
E.
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833f84188190baa3a452df880284 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd77c5481908644742a8a8f3e68 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc4f3d488190a5d1bffd4432ac32 |
completed | May 10, 2026, 1:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd0392e08190af42a0cdc5dd4c1f |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:56 a.m.