Triple
T21102573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford poets |
E519943
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Rex Warner |
—
|
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: Rex Warner | Statement: [Oxford poets, hasMember, Rex Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rex Warner Context triple: [Oxford poets, hasMember, Rex Warner]
-
A.
Rex Warner
chosen
Rex Warner was a British classicist, novelist, and translator known for his politically charged fiction and influential translations of Greek literature.
-
B.
Sam Warner
Sam Warner is a fictional character from the American television sitcom "Yes, Dear," which centers on the comedic challenges of family life and parenting.
-
C.
Sam Warner
Sam Warner was a co-founder and pioneering executive of Warner Bros. who helped usher in the era of sound films in Hollywood.
-
D.
Alan Ward
Alan Ward is a determined and idealistic FBI agent in the film "Mississippi Burning," who leads a federal investigation into the racially motivated murders of civil rights workers in 1960s Mississippi.
-
E.
Robert Warner
Robert Warner is an actor known for his role in the film "Deranged."
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5ee8948190ac6e9e144d312c90 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.