Triple
T10491704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Haggard |
E247435
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haggard |
E247436
|
NE FINISHED |
How this triple was built (2 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.
Haggard
chosen
Haggard is a surname most famously associated with American country music legend Merle Haggard.
-
B.
Harte
Harte is a surname most famously associated with American author Bret Harte, known for his stories about the California Gold Rush.
-
C.
Haggerty
Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
D.
Deadeye Dick
Deadeye Dick is a darkly comic novel by Kurt Vonnegut that follows the life of a man haunted by a tragic childhood accident and explores themes of guilt, fate, and the absurdity of modern American life.
-
E.
Savage Sam
Savage Sam is a children's novel by Fred Gipson that continues the frontier adventures of the Coates family, focusing on the brave dog Sam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dca37b0881908ced885d9853bc1b |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:24 p.m.