Triple
T17876524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Ratburn |
E446967
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ratburn |
—
|
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: Ratburn | Statement: [Mr. Ratburn, familyName, Ratburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratburn Context triple: [Mr. Ratburn, familyName, Ratburn]
-
A.
Ranlett
Ranlett is a family surname associated with Charles Ranlett and his descendants.
-
B.
Bricklebaum
Bricklebaum is a relentlessly cheerful and friendly Whoville resident who tries to befriend the Grinch in the 2018 animated adaptation of Dr. Seuss's classic story.
-
C.
Mr. Ratburn
chosen
Mr. Ratburn is the strict yet fair third-grade teacher from the children's animated television series "Arthur," known for his love of homework and surprising personal warmth.
-
D.
LaBoeuf
LaBoeuf is a Texas Ranger character in the 2010 Western film "True Grit," known for his prideful demeanor and uneasy partnership with U.S. Marshal Rooster Cogburn and young Mattie Ross.
-
E.
Bonderman
Bonderman is a surname most prominently associated with American billionaire investor and private equity pioneer David Bonderman.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.