Triple
T9339913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odell Beckham Jr. |
E224737
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Odell |
E224737
|
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: Odell | Statement: [Odell Beckham Jr., givenName, Odell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odell Context triple: [Odell Beckham Jr., givenName, Odell]
-
A.
Odell
chosen
Odell is the given name of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
-
B.
Dobie
Dobie is the first name of the fictional character Dobie Gillis, a typical American teenager featured in Max Shulman’s stories and the TV series "The Many Loves of Dobie Gillis."
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
-
E.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3ed7ffc819090f3706a8be4cbfa |
completed | April 4, 2026, 10:11 a.m. |
Created at: March 30, 2026, 7:40 p.m.