Triple
T20248219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leota Adebayo |
E498479
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Christopher 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: Christopher Smith | Statement: [Leota Adebayo, worksWith, Christopher Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Smith Context triple: [Leota Adebayo, worksWith, Christopher Smith]
-
A.
Christopher Smith
Christopher Smith is an American musician and producer best known for his work with singer-songwriter and producer Syd Bennett (Syd).
-
B.
Christopher Smith
Christopher Smith is an individual associated with online communities or organizations connected to the Internet.
-
C.
Christopher Smith
Christopher Smith is a relative of English actor Jeremy Irvine, known for his role in the film "War Horse."
-
D.
Christopher Smith
Christopher Smith is an actor known for his performance in the film "Feel Good."
-
E.
Christopher Smith Jr.
Christopher Smith Jr. is an American rapper and singer known professionally as Smino, recognized for his eclectic, melodic style and contributions to contemporary hip hop and R&B.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.