Triple
T19365265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelendria Trene Rowland |
E484382
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ms. Kelly |
—
|
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: Ms. Kelly | Statement: [Kelendria Trene Rowland, notableWork, Ms. Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ms. Kelly Context triple: [Kelendria Trene Rowland, notableWork, Ms. Kelly]
-
A.
Ms. Kelly
chosen
Ms. Kelly is the second solo studio album by American singer Kelly Rowland, showcasing her R&B sound following her success with Destiny's Child.
-
B.
Ms. Keane
Ms. Keane is the kind, soft-spoken kindergarten teacher of the Powerpuff Girls and their classmates in the animated series "The Powerpuff Girls."
-
C.
Ms. Casey
Ms. Casey is a mysterious and emotionally restrained wellness counselor in the sci-fi thriller series "Severance."
-
D.
Mrs. McKee
Mrs. McKee is the central protagonist of the work "State of Grace," around whom the story’s main events and character developments revolve.
-
E.
Mrs. O'Brien
Mrs. O'Brien is the mother of Jack O'Brien, a central figure in Terrence Malick's film "The Tree of Life."
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.