Triple
T10148556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerian Roussel |
E231769
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kerian Roussel |
E231769
|
NE FINISHED |
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: Kerian Roussel | Statement: [Kerian Roussel, name, Kerian Roussel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerian Roussel Context triple: [Kerian Roussel, name, Kerian Roussel]
-
A.
Kerian Roussel
chosen
Kerian Roussel is an individual notable enough to be specifically cited as a bearer of the surname Roussel.
-
B.
Baylie Cregut
Baylie Cregut is an American child actress best known for playing Hope Chance on the television sitcom "Raising Hope," a role she shared with her twin sister Rylie.
-
C.
Mackenzie Matheson
Mackenzie Matheson is an individual notable enough to be specifically cited as a bearer of the surname Matheson.
-
D.
Kylie Rogers
Kylie Rogers is an American actress best known for her lead role as the young girl in the faith-based drama film "Miracles from Heaven."
-
E.
Kyla Ross
Kyla Ross is an American artistic gymnast, Olympic gold medalist, and multiple-time NCAA champion who became one of the most decorated athletes in collegiate gymnastics history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec024da481908b8170fcf3b18e67 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e62c1984819095fcb239f11731b4 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:08 p.m.