Triple
T22003449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Elizabeth Weir |
E543388
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Robert C. Cooper |
—
|
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: Robert C. Cooper | Statement: [Dr. Elizabeth Weir, creator, Robert C. Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert C. Cooper Context triple: [Dr. Elizabeth Weir, creator, Robert C. Cooper]
-
A.
Robert C. Cooper
chosen
Robert C. Cooper is a Canadian writer, producer, and director best known for his major creative and executive roles in the Stargate science fiction television franchise.
-
B.
Robert B. Cooper
Robert B. Cooper was a prominent computer scientist and academic known for his influential work in queueing theory and performance evaluation of computer systems.
-
C.
Robert M. Cooper
Robert M. Cooper is a film and television producer known for his work on projects such as "The Babe."
-
D.
Tom Fitton
Tom Fitton is an American conservative activist and commentator best known as the longtime president of the watchdog organization Judicial Watch.
-
E.
Cornelius R. Coffey
Cornelius R. Coffey was a pioneering African American aviator and aviation mechanic who co-founded a flight school that trained many Black pilots before and during World War II.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.