Triple
T21448335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Smith Sr. |
E529135
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Angie Smith |
—
|
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: Angie Smith | Statement: [Steve Smith Sr., spouse, Angie Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angie Smith Context triple: [Steve Smith Sr., spouse, Angie Smith]
-
A.
Angie Smith
chosen
Angie Smith is best known as the wife of former NFL wide receiver and sports analyst Steve Smith Sr.
-
B.
Angie Rutherford
Angie Rutherford is the wife of Mike Rutherford, the English musician and founding member of the rock band Genesis.
-
C.
Angie Mayhew
Angie Mayhew is the widow of actor Peter Mayhew, best known for his role as Chewbacca in the Star Wars films, and is involved in preserving his legacy and fan outreach.
-
D.
Angie Wilson
Angie Wilson is the main character of the comedy-drama TV series "Harlem," which follows her life and friendships as a young Black woman navigating love, career, and identity in New York City.
-
E.
Angela Barnes
Angela Barnes is a British stand-up comedian and radio presenter known for her sharp, politically savvy comedy and regular appearances on BBC Radio 4.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.