Triple
T592271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabell's Inc. |
E17300
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Earle Cabell |
E2917
|
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: Earle Cabell | Statement: [Cabell's Inc., associatedWith, Earle Cabell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earle Cabell Context triple: [Cabell's Inc., associatedWith, Earle Cabell]
-
A.
Earle Cabell
chosen
Earle Cabell was an American politician and businessman who served as mayor of Dallas, Texas, during the early 1960s, including at the time of President John F. Kennedy’s assassination.
-
B.
Ben E. Cabell
Ben E. Cabell was an American politician who served as mayor of Dallas, Texas, in the early 20th century.
-
C.
Bill Cobbs
Bill Cobbs is an American character actor known for his prolific supporting roles in film and television, including appearances in movies like "Night at the Museum," "Demolition Man," and "The Hudsucker Proxy."
-
D.
George Porter
George Porter was a British chemist and Nobel laureate renowned for his pioneering work in the field of flash photolysis and the study of very fast chemical reactions.
-
E.
Nat Wartels
Nat Wartels was a publisher best known as a co-founder and driving force behind the American publishing house Crown Publishers.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f5d714c819093dfb8c3da35da4f |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.