Triple
T2249323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Haggard |
E49579
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Haggard
Haggard is a surname most famously associated with American country music legend Merle Haggard.
|
E247436
|
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: Haggard | Statement: [Merle Haggard, familyName, Haggard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haggard Context triple: [Merle Haggard, familyName, Haggard]
-
A.
Haggerty
Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
B.
Darrow
Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
-
C.
Light-Horse Harry
Light-Horse Harry was the popular nickname of Henry Lee III, a dashing American cavalry officer of the Revolutionary War and father of Confederate General Robert E. Lee.
-
D.
Herold
Herold is a German-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Mackenna's Gold
Mackenna's Gold is a 1969 American Western adventure film about a legendary cache of Apache gold, starring Gregory Peck and Omar Sharif.
- 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: Haggard Triple: [Merle Haggard, familyName, Haggard]
Generated description
Haggard is a surname most famously associated with American country music legend Merle Haggard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haggard Target entity description: Haggard is a surname most famously associated with American country music legend Merle Haggard.
-
A.
Haggerty
Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
B.
Darrow
Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
-
C.
Light-Horse Harry
Light-Horse Harry was the popular nickname of Henry Lee III, a dashing American cavalry officer of the Revolutionary War and father of Confederate General Robert E. Lee.
-
D.
Herold
Herold is a German-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Mackenna's Gold
Mackenna's Gold is a 1969 American Western adventure film about a legendary cache of Apache gold, starring Gregory Peck and Omar Sharif.
- 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.