Triple
T21450315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Ransom |
E529189
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kellita 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: Kellita Smith | Statement: [King's Ransom, starring, Kellita Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellita Smith Context triple: [King's Ransom, starring, Kellita Smith]
-
A.
Kellita Smith
chosen
Kellita Smith is an American actress and comedian best known for her role as Wanda McCullough on the sitcom "The Bernie Mac Show."
-
B.
Tasha McCauley
Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
-
C.
Keri Smith
Keri Smith is a television producer best known for her work as an executive producer on the acclaimed HBO comedy series *The Chris Rock Show*.
-
D.
Angelica McDaniel
Angelica McDaniel is a television executive and producer best known for her leadership roles in daytime programming and development at major U.S. networks.
-
E.
Keri Johnson
Keri Johnson is a fictional character appearing in the horror film "The Wraith."
- 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_69e9e9d281c0819080c3f8a58947a115 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.