Triple
T23079291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Waddell |
E575422
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Waddell |
—
|
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: Waddell | Statement: [James Waddell, familyName, Waddell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waddell Context triple: [James Waddell, familyName, Waddell]
-
A.
Waddell
chosen
Waddell is a surname of Scottish origin borne by various notable individuals across fields such as engineering, sports, and the arts.
-
B.
Wardell
Wardell is a small town located in Pemiscot County in the southeastern Missouri Bootheel region of the United States.
-
C.
Wardell
Wardell is the given first name of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and Westerns.
-
D.
Wendell
Wendell is a masculine given name of English origin that gained prominence in the United States, notably borne by figures such as abolitionist orator Wendell Phillips.
-
E.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c6572d88190afab0dfa960a85dd |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.