Triple
T18520338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Creel |
E452566
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Creel
Creel is a surname most notably associated with George Creel, the American journalist and head of the U.S. Committee on Public Information during World War I.
|
E1330888
|
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: Creel | Statement: [George Creel, familyName, Creel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creel Context triple: [George Creel, familyName, Creel]
-
A.
Creel
Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
-
B.
River Deer
The River Deer is a small river in Devon, England, that forms part of the local drainage system before joining the River Tamar.
-
C.
Snow Creek
Snow Creek is a small ski and snowboard resort known for its winter sports facilities and family-friendly atmosphere.
-
D.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
-
E.
Kason
Kason is the second month of the traditional Burmese calendar, associated with religious observances such as the Buddha’s birth, enlightenment, and death anniversaries.
- 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: Creel Triple: [George Creel, familyName, Creel]
Generated description
Creel is a surname most notably associated with George Creel, the American journalist and head of the U.S. Committee on Public Information during World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Creel Target entity description: Creel is a surname most notably associated with George Creel, the American journalist and head of the U.S. Committee on Public Information during World War I.
-
A.
Creel
Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
-
B.
River Deer
The River Deer is a small river in Devon, England, that forms part of the local drainage system before joining the River Tamar.
-
C.
Snow Creek
Snow Creek is a small ski and snowboard resort known for its winter sports facilities and family-friendly atmosphere.
-
D.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
-
E.
Kason
Kason is the second month of the traditional Burmese calendar, associated with religious observances such as the Buddha’s birth, enlightenment, and death anniversaries.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338db5e4819086503a2176dfe499 |
completed | April 19, 2026, 7:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad0868481908acdd25f8298283e |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a049c461c288190955ac8cdaefc055d |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cbbc0288190be82f11e660b7dff |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:37 a.m.