Triple
T2249322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Haggard |
E49579
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
|
E247435
|
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: Merle | Statement: [Merle Haggard, givenName, Merle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merle Context triple: [Merle Haggard, givenName, Merle]
-
A.
Buck
Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
-
B.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
C.
Jonathan the Husky
Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
-
D.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
E.
Rex
Rex is the lovable, anxious green toy dinosaur from Pixar's Toy Story films, known for his nervous personality and comic relief.
- 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: Merle Triple: [Merle Haggard, givenName, Merle]
Generated description
Merle is a given name most famously associated with American country music legend Merle Haggard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merle Target entity description: Merle is a given name most famously associated with American country music legend Merle Haggard.
-
A.
Buck
Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
-
B.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
C.
Jonathan the Husky
Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
-
D.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
E.
Rex
Rex is the lovable, anxious green toy dinosaur from Pixar's Toy Story films, known for his nervous personality and comic relief.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1948cc8190921b9fcc12c28db0 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6b73bb688190bcade17d991c4862 |
completed | March 9, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6be4431c81909c9b4ad82226215d |
completed | March 9, 2026, 6:42 a.m. |
Created at: March 4, 2026, 7:47 p.m.