Triple
T4467566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slats Gill |
E98415
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Slats
Slats was the nickname of Slats Gill, a prominent American college basketball coach and athletic director at Oregon State University in the mid-20th century.
|
E441580
|
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: Slats | Statement: [Slats Gill, nickname, Slats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slats Context triple: [Slats Gill, nickname, Slats]
-
A.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Kleeblatt
Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
-
D.
Blix
Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
-
E.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
- 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: Slats Triple: [Slats Gill, nickname, Slats]
Generated description
Slats was the nickname of Slats Gill, a prominent American college basketball coach and athletic director at Oregon State University in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slats Target entity description: Slats was the nickname of Slats Gill, a prominent American college basketball coach and athletic director at Oregon State University in the mid-20th century.
-
A.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Kleeblatt
Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
-
D.
Blix
Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
-
E.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3569a38e88190a8d590931c4a7c96 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628665ba4819095d5ab205dd852d7 |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b62954b77c8190968f844514656415 |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62a0cd92c8190a9eee2a9d73fb679 |
completed | March 15, 2026, 3:39 a.m. |
Created at: March 12, 2026, 11:34 p.m.