Triple
T12288904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodard |
E292901
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Garland Woodard
Garland Woodard is an individual notable enough to be recognized as a namesake or representative bearer of the surname Woodard.
|
E974990
|
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: Garland Woodard | Statement: [Woodard, hasNotableBearer, Garland Woodard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garland Woodard Context triple: [Woodard, hasNotableBearer, Garland Woodard]
-
A.
Garland Greene
Garland Greene is a notorious, eerily soft-spoken serial killer character from the action film "Con Air," portrayed by Steve Buscemi.
-
B.
H. M. Woodard
H. M. Woodard was the father of Academy Award–winning American character actress Jane Darwell.
-
C.
Curly Washburn
Curly Washburn is the tough, laconic trail boss in the comedy film "City Slickers," known for guiding a group of urban men through a transformative cattle drive.
-
D.
Cordell Walker
Cordell Walker is the tough, morally driven Texas Ranger portrayed by Chuck Norris in the action-crime television series "Walker, Texas Ranger."
-
E.
LeRoy Pope Walker
LeRoy Pope Walker was the first Confederate States Secretary of War, overseeing the Confederate war effort at the outset of the American Civil War.
- 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: Garland Woodard Triple: [Woodard, hasNotableBearer, Garland Woodard]
Generated description
Garland Woodard is an individual notable enough to be recognized as a namesake or representative bearer of the surname Woodard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garland Woodard Target entity description: Garland Woodard is an individual notable enough to be recognized as a namesake or representative bearer of the surname Woodard.
-
A.
Garland Greene
Garland Greene is a notorious, eerily soft-spoken serial killer character from the action film "Con Air," portrayed by Steve Buscemi.
-
B.
H. M. Woodard
H. M. Woodard was the father of Academy Award–winning American character actress Jane Darwell.
-
C.
Curly Washburn
Curly Washburn is the tough, laconic trail boss in the comedy film "City Slickers," known for guiding a group of urban men through a transformative cattle drive.
-
D.
Cordell Walker
Cordell Walker is the tough, morally driven Texas Ranger portrayed by Chuck Norris in the action-crime television series "Walker, Texas Ranger."
-
E.
LeRoy Pope Walker
LeRoy Pope Walker was the first Confederate States Secretary of War, overseeing the Confederate war effort at the outset of the American Civil War.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d21692481908c97edc3d602f1d5 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e752f3c8190ba0e273f3e41a321 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9493d081909a543bcafeb508d1 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f620ad9ec0819099909142fbad6412 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 8, 2026, 9:52 p.m.