Triple
T18026832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Stallings |
E431273
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stallings |
—
|
NE NERFINISHED |
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: Stallings | Statement: [Laurence Stallings, familyName, Stallings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stallings Context triple: [Laurence Stallings, familyName, Stallings]
-
A.
Stallings
chosen
Stallings is an English-language surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
B.
Steele
Steele is a surname most notably borne by Charles Steele Jr., an American civil rights leader and former president of the Southern Christian Leadership Conference.
-
C.
Steele
Steele is a historic district of the German city of Essen, known for its riverside location along the Ruhr and its blend of residential, commercial, and cultural areas.
-
D.
Stegall
Stegall is a surname most notably associated with Milt Stegall, a record-setting former Canadian Football League wide receiver.
-
E.
Stovall
Stovall is a small unincorporated community located in the state of Georgia, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c7be308190af0d77c0df6d94ce |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.