Triple
T18933277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtney Gains |
E463170
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Courtney Gains |
—
|
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: Courtney Gains | Statement: [Courtney Gains, name, Courtney Gains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courtney Gains Context triple: [Courtney Gains, name, Courtney Gains]
-
A.
Courtney Gains
chosen
Courtney Gains is an American character actor known for his offbeat and often unsettling roles in films such as "Children of the Corn," "Can't Buy Me Love," and numerous 1980s cult classics.
-
B.
Courtney Lemmon
Courtney Lemmon is the daughter of acclaimed American actor Jack Lemmon and is known for her work as a jazz and blues singer.
-
C.
Courtney Roker
Courtney Roker is the daughter of longtime NBC "Today" show weather anchor and television personality Al Roker.
-
D.
Shauna Redford
Shauna Redford is an American painter and the daughter of actor and filmmaker Robert Redford.
-
E.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e498308190bd1594cca841199c |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.