Triple
T21524308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Secret Lives of Dentists |
E531054
|
entity |
| Predicate | characterName |
P36851
|
FINISHED |
| Object | Slater |
—
|
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: Slater | Statement: [The Secret Lives of Dentists, characterName, Slater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slater Context triple: [The Secret Lives of Dentists, characterName, Slater]
-
A.
Slater
Slater is a small city located in central Iowa, United States.
-
B.
Slater
chosen
Slater is a surname most prominently associated with Australian rugby league legend Billy Slater.
-
C.
Slater Martin
Slater Martin was an American Hall of Fame point guard and later basketball coach best known for winning multiple NBA championships with the Minneapolis Lakers and St. Louis Hawks in the 1950s.
-
D.
Salter
Salter is the middle name of Lucile Salter Packard, the American philanthropist and namesake of the Lucile Packard Children's Hospital at Stanford.
-
E.
Sadler
Sadler is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884f4504819086bd632e62f02f58 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.