Triple
T23558735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Price |
E579163
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Janelle Price |
—
|
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: Janelle Price | Statement: [Paris Price, hasSibling, Janelle Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janelle Price Context triple: [Paris Price, hasSibling, Janelle Price]
-
A.
Janelle Price
chosen
Janelle Price is a central fictional character in Terry McMillan’s novel "A Day Late and a Dollar Short," involved in the complex dynamics of the Price family.
-
B.
Shannon Price
Shannon Price is an American woman best known for her brief and tumultuous marriage to child actor Gary Coleman and her involvement in the events surrounding his later life and death.
-
C.
Janelle Lacey
Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
-
D.
Lindsay Price
Lindsay Price is an American television actress best known for her roles on series such as "Beverly Hills, 90210," "Lipstick Jungle," and "Eastwick."
-
E.
Megyn Price
Megyn Price is an American actress best known for her comedic roles on television sitcoms such as "Rules of Engagement" and "Grounded for 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6663e0819081d654da38cf3aa9 |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:12 p.m.